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Visa and Entry conditionshttps://euraxess.ec.europa.eu/information/coming-europe?utm_source=chatgpt.comRegardless of your nationality or career stage—PhD student, postdoctoral, established, or leading researcher—a wide range of resources and support measures are in place to ensure that your relocation goes as smoothly as possible.EURAXESS offers the support and opportunities you need to advance your career in Europe.Discover the practicalities of coming to Europe, including visa and entry conditions, residence permits, hosting, and EU and national regulations.If you are a researcher from outside the EU considering a move to Europe, it’s important to know that both the European Union and its Member States are working to make the process clearer and easier. Immigration policy in the EU is a shared competence, meaning that both the European Union and its Member States have the authority to legislate and adopt legally binding acts in this area. In recent years, EU Member States have significantly expanded tailored visa and residence initiatives to attract global research talent. These programs are designed to cut red tape, accelerate entry procedures, and offer long-term security for researchers.The EU Immigration Portal is an online resource that provides up-to-date, practical information on both EU-wide and national immigration rules, tailored to different types of professionals, including researchers. It offers detailed, country specific guidance on admission requirements, necessary documents, and application procedures. Available in multiple languages, the portal serves as a comprehensive and user friendly guide for navigating the immigration process across the EU.In addition, for guidance tailored to the specific country you’re moving to, visit the EURAXESS national information page to explore natinoal entry conditions, visa procedures, and support services.EU Immigration Portal EURAXESS Country InformationStudents and Researchers DirectiveThe Directive (EU) 2016/801 addresses the conditions of entry and residence of third-country nationals, for the purposes of research, studies, training, voluntary service, pupil exchange schemes or educational projects and au pairing. A researcher is defined as: a “third-country national holding a doctoral degree or an appropriate higher education qualification which gives access to doctoral programmes, and who is selected by a research organisation for carrying out a research activity for which the above-mentioned qualification is normally required.”The Directive applies to researchers intending to stay in Europe for more than three months. For those coming for less than three months, rules on short-term visas apply. This directive sets clearer, more consistent and transparent rules, such as: Procedural guarantees: The 90-day time limit for Member States' authorities to decide on an application will make the process more straightforward and transparent.Stay after the research is completed: Researchers will be allowed to remain for up to 9 months in their Member State of residence after finalisation of their research to identify job opportunities or set up a business. This will not amount to an automatic right to work: the researcher who finds a job will have to apply for a work and residence permit.Simpler and more flexible mobility rules: will increase the possibility for researchers to move within the EU for their projects. Family members of researchers will also be granted mobility rights.The short-term mobility period should cover stays in second Member States for a maximum of 180 days in any 360-day period. The long-term mobility period should cover stays in one or several second Member States for more than 180 days.Those rules apply to researchers in both public and private organisations. Individual European countries do not have identical rules of procedure, they need to be verified for each country. While most EU member states are participating in Directive (EU) 2016/801, Ireland and Denmark have opted out and are not bound by its provisions.About the DirectiveEU Blue CardAn EU Blue Card gives highly-qualified workers from outside the EU the opportunity to live and work in an EU Member State, provided they hold the necessary higher professional qualifications, or, where appropriate, higher professional skills, and an employment contract or a binding job offer for at least six months with a salary at least equal to, but no higher than 1.6 times, the average gross national annual salary of the country concerned. . The EU Blue Card applies in 25 of the 27 EU Member States. It does not apply in Denmark and IrelandMore information on the key provisions of the new EU Blue Card Directive can be found in the Summary of EU legislation – EU Blue Card(for example eligibility conditions, length of validity, related rights)EU Blue CardWhat is a hosting agreement?The “hosting agreement” is an agreement signed by a public or private research organisation in the Member State and the researchers, through which they both agree to undertake a research project. The research organisation can only sign a hosting agreement with a researcher if there are funds available for the research and they are satisfied with the researcher's qualifications and skills. It must include some information, notably the title or purpose of the research activity and the start and end date of the activity or its estimated duration. Moving between European countriesOnce granted the residence permit or long-stay visa, a researcher may carry out their research not only in the country of their residence permit/long-stay visa, but also in other EU Member States under specific conditions. When a researcher moves to another EU Member State, the procedure to follow varies based on the destination country and the duration of their stay: Short-Term Mobility (Up to 6 Months) Researchers planning to conduct research in another EU Member State for up to 6 months may need to submit specific documents to the national authorities. Once submitted, they can relocate immediately. Long-Term Mobility (More than 6 Months) For stays exceeding 6 months, researchers must follow country-specific procedures. Some Member States require the same process as short-term stays, while others mandate a long-term mobility permit application.Connect with EURAXESS WorldwideWould you like to link up with EURAXESS representatives outside Europe before making the move? EURAXESS Worldwide has regional hubs in Africa, ASEAN, Latin America and the Caribbean, China, India, Japan, Korea, and North America. These hubs offer international researchers tailored information, networking opportunities and practical guidance to support a smooth transition and successful research career in Europe.Explore EURAXESS Worldwide

Exploring Research Visa Pathways in SingaporeSingapore Researcher Visa / Work Pass Summary 1. Employment Pass (EP)The Employment Pass is the primary work pass used by foreign researchers and university academics in Singapore. According to MOM, the EP is designed for “foreign professionals, managers, executives and technicians.”Typical users include:Postdoctoral researchersResearch fellowsUniversity lecturersAI/Data Science specialistsInternational faculty membersCommon host institutions:National University of SingaporeNanyang Technological UniversityA*STARKey requirements:Valid job offer from a Singapore institutionRecognized academic qualificationsMinimum qualifying salary determined by MOMOfficial source:Employment Pass – Ministry of Manpower Singapore2. Overseas Networks & Expertise Pass (ONE Pass)The ONE Pass is a high-level personalized work pass created to attract top global talent in sectors including academia and research. MOM explicitly states that the pass targets “top talent in all sectors, such as business, arts and culture, sports, academia and research.”Suitable for:Distinguished professorsSenior researchersAI and deep-tech expertsInternational research leadersKey advantages:Valid for 5 yearsRenewableNot tied to a single employerCan work for multiple organizations simultaneouslyMOM also notes that applicants with “outstanding achievements” in academia and research may qualify even without meeting the salary threshold.Official source:ONE Pass – Ministry of Manpower Singapore3. Training Employment Pass (TEP)The Training Employment Pass supports short-term training and visiting research activities. MOM states that the TEP allows foreigners to undergo “practical training for professional, managerial, executive or specialist jobs in Singapore.”Suitable for:Visiting scholarsResearch internsExchange researchersShort-term ASEAN/EU collaborative projectsTypical duration:Up to 3 monthsOfficial source:Training Employment Pass – MOM SingaporeSingapore Research Institutions Frequently Hiring Foreign Researchers

Directive (EU) 2016/801: Short-term mobility of researchershttps://ind.nl/en/residence-permits/work/directive-eu-2016801-short-term-mobility-of-researchers#what-is-short-term-mobility-You have a residence permit as a researcher in a different EU country under Directive (EU) 2016/801. You are coming for a maximum of 180 days out of a 360-day period to carry out research in the Netherlands. Find out what the requirements are and what the process is.What is short-term mobility?Directive (EU) 2016/801 provides that researchers from outside the European Union (EU), European Economic Area (EEA) or Switzerland can carry out their research in several EU countries. This is called intra-EU-mobility. Researchers choose a first EU Member State where they are going to carry out research. Afterwards the researcher can carry out parts of the research in one or more other EU countries.There are 2 forms of intra-EU mobility for researchers.Short-term mobility: the researcher comes to the Netherlands to carry out research for a maximum of 180 days out of a 360-day period. No residence permit is required for short-term mobility. Your residence permit in the other country is also valid in the Netherlands.Long-term mobility: the researcher will come to carry out research in the Netherlands for more than 180 days. A residence permit is required for long-term mobility. Find out more on the web page Residence permit researcher (Directive (EU) 2016/801).Family members of researchersDo your family members in the other EU country have residence permits to live with you? Then they can come along with you to the Netherlands. Your family members do not need Dutch residence permits either. The residence permit from the other EU country must remain valid during the whole period. You must notify the IND yourself of the arrival of your family members with a notification.Requirementshttps://ind.nl/en/residence-permits/work/directive-eu-2016801-short-term-mobility-of-researchers#requirementsThe following requirements apply to short-term mobility for researchers:You have a valid residence permit for the purpose of research under Directive (EU) 2016/801 in a different EU country, except for Ireland en Denmark.You are coming to the Netherlands for a maximum of 180 days out of a period of 360 days. Your residence permit from the other EU country will remain valid during your stay in the Netherlands.You are going to carry out research at a research institution in the Netherlands. This research institution is recognised by the IND as sponsor. A recognised sponsor is listed in the Public Register Recognised Sponsors.You have a host agreement with the Dutch research institution. The host agreement contains the following information:the title or purpose of the research;a statement that you will try to carry out all of the research;a statement that the research institution will receive you for the purpose of completing the research;the start and end dates of the research, or the estimated duration of the research;information about the research that you are going to carry out in other EU countries, if this information is known;the legal relationship between you and your employer, for example an employment contract; andyour terms and conditions of employment.You will earn sufficient income. Will you not receive a salary from your Dutch employer? Then you must have different income. For example a scholarship, grant or money from a sponsor. Or you must have sufficient money in your bank account for the time you are in the Netherlands.There are no reasons to assume that you want to live in the Netherlands for a purpose other than to carry out research.You are not a danger to the public order or national security. Resident PermitsDo you want to work in the Netherlands or do you want to hire a foreign employee? Then you need a residence permit or a work permit in some cases.Highly skilled migranthttps://ind.nl/en/residence-permits/work/highly-skilled-migrantTo work in the Netherlands as a highly skilled migrant, you need a residence permit. Only an employer recognised by the IND can apply for your permit. Read what the requirements are and how your employer can apply.European Blue Card residence permithttps://ind.nl/en/residence-permits/work/european-blue-card-residence-permitWith a European Blue Card, you can work in the Netherlands as a highly educated migrant. Find out what the requirements are and how your employer can apply for the permit.Residence permit researcher (Directive (EU) 2016/801)https://ind.nl/en/residence-permits/work/residence-permit-researcher-directive-eu-2016801Under Directive (EU) 2016/801 you are allowed to work as a researcher in the Netherlands. Find out what the requirements are and how your employer applies for the permit.

Call for Applicants in Natural Language Processing & Computational Linguistics - University of A Coruñahttps://euraxess.ec.europa.eu/jobs/hosting/msca-pf-2026-call-applicants-natural-language-processing-computational-linguisticshttps://portalinvestigacion.udc.gal/investigadores/214918/detalle?lang=enHosting InformationOffer Deadline: Tue, 30 Jun 2026 - 17:00EU Research Framework Programme: Horizon Europe - MSCACountry: SpainDr. David Vilares Calvo is seeking researchers who hold a PhD (with no more than 8 years of full-time equivalent research experience) and are interested in pursuing a research project in the framework of the Marie Curie Postdoctoral Fellowships 2026.Research Group SummaryThe Language and Information Society (LyS) research group is an interdisciplinary unit comprising experts in Computational Linguistics, Computer Science, and Artificial Intelligence; located at Universidade da Coruña (Spain). The group has a distinguished track record of publishing in top-tier NLP venues, including ACL, EMNLP, NAACL, EACL, and COLING, as well as leading specialized journals. Over the past decade, LyS has consistently ranked among the top 25 European institutions in Natural Language Processing, according to CSRankings. Furthermore, the group’s international standing is reflected in its membership in the ELLIS Society, currently counting two members within its ranks.Main lines of researchStructured Prediction and Green AI: Converting complex linguistic structures into efficient sequence-labeling tasks to enable deep analysis at a fraction of the traditional computational cost.LLM Probing: Investigating the divergence between human and LLM generation by analyzing incremental capabilities, internal representations, and training dynamics to decode how and when models acquire a given capability.Computational Sociolinguistics: Analyzing how language variation across cultures and digital platforms reflects social identity and influence, applied across a diverse range of computational problems.Biomedical NLP: Developing robust datasets and models for healthcare-related reasoning, with a focus on benchmarking how generative models handle the linguistic and conceptual complexity of the medical domain.Facilities, equipment & support from the group membersAs part of the University of A Coruña (UDC), the group has access to the Galicia Supercomputing Center (CESGA), which provides extensive CPU/GPU clusters and large-scale storage to support high-performance computing requirements. Locally, the project is integrated into the Research Center on Information and Communication Technologies (CITIC), a recognized center of excellence offering specialized facilities, including a shared cluster with 16 NVIDIA A100 GPUs. These regional and institutional resources are complemented by the LyS research group’s private infrastructure.The LyS group is an interdisciplinary research unit with a core NLP team currently composed of four professors, one postdoctoral researcher, and four Ph.D. students. The group maintains dedicated workspaces at both the CITIC research center and the Faculty of Computer Science.Potential research topicThe LyS group welcomes proposals that align with our core research interests, as well as other areas within Natural Language Processing. We are particularly interested in candidates who can demonstrate clear synergy between their own expertise and the group's ongoing research lines, in accordance with the primary objectives of the MSCA fellowships.RequirementsThe ideal candidate will hold a Ph.D. in Natural Language Processing and have a track record of publishing at top-tier venues, such as *ACL conferences or journals like Computational Linguistics, TACL, Language Resources and Evaluation, and Natural Language Engineering.We are looking for someone who can demonstrate significant research autonomy across the entire project lifecycle. This includes the ability to refine research objectives, build computational solutions, and conduct methodologically rigorous evaluations. Additionally, candidates should possess strong academic writing skills to lead the preparation and submission of high-quality manuscripts to leading venues in the field.Expressions of InterestInterested candidates should contact Dr. David Vilares Calvo (david.vilares@udc.es) as soon as possible. Emails should include a CV and a brief motivation letter.

Applied Agentic AI for Organizational TransformationLeverage AI Agents to Elevate Efficiency and Innovate Models https://online.professionalprogramsmit.com/agentic-ai-organizational-transformation-in?utm_source=Google&utm_medium=c&utm_term=ai%20agents%20training&utm_location=9217387&utm_network=g&utm_campaign=B-365D_ww_GG_SE_MPE-DTR_NONBRAND_IS_APAC&utm_content=Core_Brand&gad_source=1&gad_campaignid=23096971436&gbraid=0AAAAAC-ids1T1E9s9wbLVoHiq6HbY6WRm&gclid=Cj0KCQjwj47OBhCmARIsAF5wUEHeGlwsOUEp8_wMz3V740FwRK7QKT69GZf2NV8g7m4m4PLgV72OXKYaAg4eEALw_wcBStart: May 12, 2026Duration: 8 weeks, onlinePRICE: US$2,720What you will learn?Understand the foundations of Generative and Agentic AI - how they work, how they differ, and how they apply to real organizational functions.Design AI-integrated strategies using cloud infrastructure, APIs, and enterprise platforms to deliver real-world impact.Build practical skills through hands-on mini-projects, including text, image, audio, coding and video with no prior coding knowledge required.Address the risks and responsibilities of AI, from deepfakes and misinformation to legal compliance and ethical governance.

The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)Conference Theme: "AI-Driven Innovations for a Sustainable Future"https://mlmi.netSubmission Deadline: February 5, 2026Notification Deadline: March 5, 2026Registration Deadline: March 20, 2026 We are thrilled to announce that the 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026) will be held in Tokyo, Japan, from July 17 to 20, 2026. Organized by Rikkyo University, Japan, MLMI 2026 will bring together leading researchers, academics, and industry professionals to explore the latest advancements in machine learning and machine intelligence. The conference will feature insightful presentations, engaging discussions, and vibrant networking opportunities, all set in the culturally rich city of Tokyo. MLMI 2026 aims to advance the field of machine learning and machine intelligence by fostering interdisciplinary collaboration and showcasing cutting-edge research. The scope of MLMI 2026 includes, but is not limited to, deep learning, reinforcement learning, natural language processing, computer vision, robotics, AI ethics, and the integration of machine intelligence in domains such as healthcare, finance, autonomous systems, and environmental sustainability. By providing a platform for knowledge exchange and collaboration, MLMI 2026 seeks to drive innovation and inspire the development of intelligent systems that benefit society.MLMI 2026 offers a unique opportunity to engage with the latest research, connect with global experts, and contribute to the future of machine intelligence. We invite you to join us for four days of learning and networking. You are guaranteed to leave the event with a suitcase full of knowledge and inspiration.Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published into Lecture Notes in Electrical Engineering (Electronic ISSN: 1876-1119 & Print ISSN: 1876-1100) as a proceedings book volume. The book series will be indexed by EI Compendex, SCOPUS, INSPEC, SCImago and other database.Topics of interest for submission include, but are not limited to:Track 1: Deep Learning and Neural Architectures Track 2: Reinforcement Learning and Sequential Decision Making▪ Architectural Advances ▪ Advanced Reinforcement Learning Algorithms▪ Efficient Training Techniques ▪ Multi-Agent Reinforcement Learning▪ Graph Neural Networks ▪ Time Series and Sequential Data▪ Generative Models ▪ Predictive Modeling▪ Neural Architecture Search ▪ Anomaly Detection▪ Transfer Learning ▪ Sequential Decision Making ▪ Real-Time AI Systems Track 3: Applied Machine Intelligence Track 4: Natural Language Processing and Multimodal Learning▪ Machine Learning in Healthcare ▪ Large Language Models▪ AI in Robotics ▪ Multilingual and Low-Resource NLP▪ AI for Cybersecurity ▪ Multimodal Machine Learning▪ Biometric and Behavioral Analytics ▪ Cross-Modal Retrieval and Generation▪ Industry-Specific Applications Track 5: Emerging Paradigms and Future Directions Track 6: Explainable, Ethical, and Human-Centered AI▪ Quantum Machine Learning ▪ Explainable AI (XAI)▪ Federated and Distributed Learning ▪ Ethical AI and Fairness▪ AutoML and Meta-Learning ▪ Privacy-Preserving Machine Learning▪ Sustainable and Green AI ▪ Human-Centered AI▪ Hybrid Models ▪ Augmented Intelligence

The Japanese Government Scholarship (Monbukagakusho: MEXT)https://www.th.emb-japan.go.jp/files/000521283.pdfhttps://www.th.emb-japan.go.jp/itpr_th/jis_study.htmlThe Japanese Government Scholarship (Monbukagakusho: MEXT) is a fully funded program that enables Thai students and professionals to pursue study and training in Japan. The scholarship covers various levels of education, including undergraduate studies, research (master’s and doctoral), Japanese language and cultural studies, teacher training, technical college, and professional training. It also includes the Young Leaders’ Program (YLP) for mid-career professionals in fields like public administration, business, law, and local governance. Prospective applicants must be Thai nationals and meet specific age, academic, and experience requirements depending on the scholarship category.Application cycles typically open once a year, with document submission in the spring (often April–May), followed by written exams and interviews conducted by the Japanese Embassy or consulate in Thailand. Successful candidates are nominated by the Embassy to the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT). Scholarship benefits generally include tuition support, monthly living stipends, travel expenses, and Japan arrival allowances.MEXT Scholarship Application Timeline (Thailand)AprilThe application period opens. Applicants must submit all required documents within this period.Each applicant may apply for only one scholarship category per year.Embassy of Japan in ThailandJune – JulyWritten examinations and/or interviews are conducted for shortlisted applicants.Examinations are held in several locations, such as Bangkok, Chiang Mai, Khon Kaen, and Songkhla.Embassy of Japan in ThailandAugustThe Embassy contacts Japanese universities and nominates successful candidates to MEXT for further consideration.Embassy of Japan in ThailandJanuaryFinal selection results are officially announced.Embassy of Japan in ThailandApril / OctoberSuccessful applicants depart for Japan to begin their studies, depending on the scholarship category and program start date.

PhD Research Fellowship in AI, Politics and Societyhttps://www.kuleuven.be/personeel/jobsite/jobs/60607072?hl=enhttps://euraxess.ec.europa.eu/jobs/400168Application Deadline: 15 Mar 2026 - 23:59 (UTC)Offer DescriptionLINES & CRPD aim to launch a new research line on the broad theme of “AI, Politics and Society”. Artificial intelligence is rapidly transforming how decisions are made in government, business, and everyday life. This development offers significant opportunities, but it also introduces new political and societal challenges and risks. It is therefore essential to better understand how AI is—or may come to be—(re)shaping power, governance, and social relations in the future, and how societies can guide these technologies in democratic, fair, and accountable ways. As part of this new research line, we are seeking a highly motivated and outstanding doctoral candidate to join our research team. We welcome applicants who are eager to connect political and social analysis with the growing importance and impact of AI on (international) politics and society.You also contribute to collective responsibilities of the research group (such as educational services, team meetings, research proposals, supervision of bachelor and master students, invigilating exams, student recruitment activities, etc.).The applicant should have completed a Master’s degree in political science, sociology, or another closely related discipline. An interdisciplinary background combining a social science degree with computer science or a closely related field is a strong assetThe applicant should have an excellent academic track record. Applicants should have obtained their Master’s degree with first-class or upper second-class honours.Excellent analytical skills and a willingness to engage with both quantitative and qualitative research methods.Demonstrated familiarity with, and strong interest in, the political and societal implications of AI and machine learning.Proficiency in English sufficient to discuss research with colleagues and report findings clearly in writing.Motivation to work in an interdisciplinary team committed to developing solutions collaboratively.As part of the application process, applicants must submit a short research statement (maximum two pages) outlining their proposed research ideas. In this document, applicants should specify the context in which they wish to examine the growing impact, significance, and societal relevance of AI; explain why they consider this an important area for scholarly inquiry; and describe how they intend to investigate it (e.g., core research questions and methods).We welcome a broad range of proposals. Possible topics include, but are not limited to: how AI may (re)shape international politics; how states use AI strategies and regulation to gain geopolitical influence; the determinants of public acceptance of AI in governance and society; the use of AI in policymaking and in policy-relevant research; the distributional consequences of AI at local, national, or international levels; and how AI may affect citizens’ trust in government institutions.Your electronic application must include: Cover letterCVResearch statement (max. 2 pages)Copy of your Master’s thesisFull degree transcripts (both Bachelor’s and Master’s degrees)Short-listed candidates will be invited for an interview.You will receive a monthly scholarship in line with KU Leuven standards for PhD scholarships. You will initially be offered a one-year contract, which can be extended up to a total of four years.The scholarship provides access to social benefits, insurance coverage, and training opportunities.You will join a dynamic, international research team and receive support in developing your academic and professional career.Support is provided for conference participation, methodological training, and knowledge valorisation initiatives.For more information please contact CRPD Director, Prof. dr. Arnim Langer, mail: arnim.langer@kuleuven.beEligibility criteriaThe applicant should have completed a Master’s degree in political science, sociology, or another closely related discipline. An interdisciplinary background combining a social science degree with computer science or a closely related field is a strong assetThe applicant should have an excellent academic track record. Applicants should have obtained their Master’s degree with first-class or upper second-class honours.Excellent analytical skills and a willingness to engage with both quantitative and qualitative research methods.Demonstrated familiarity with, and strong interest in, the political and societal implications of AI and machine learning.Proficiency in English sufficient to discuss research with colleagues and report findings clearly in writing.Motivation to work in an interdisciplinary team committed to developing solutions collaboratively.

The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026)23-25 April , 2026, Krabi, ThailandLink: https://ieai.net/index.htmlSubmission Deadline: December 30, 2025Acceptance Notification: February 2, 2026Registration Deadline: February 28, 2026Conference Dates: April 23-25, 2026The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026) will be held in Krabi, Thailand, 23-25 April , 2026. It is a premier forum dedicated to the convergence of industrial engineering and artificial intelligence (AI). As industries worldwide rapidly adopt AI to enhance efficiency, productivity, and innovation, this conference aims to explore the latest advancements, research, and applications at this intersection.Key topics of interest include smart manufacturing, robotics, machine learning, predictive maintenance, digital twins, and the integration of AI into industrial processes. As we stand on the brink of the Fourth Industrial Revolution, IEAI 2026 will serve as a critical venue for discussing how AI can drive innovation and sustainability in industrial systems.Whether you are an academic researcher, a practitioner in the field, or an industry leader, IEAI 2026 will offer valuable insights and opportunities to engage with the cutting-edge developments that are shaping the future of industrial engineering and artificial intelligence.IEAI PublicationThe submitted papers will be peer reviewed by Technical Committee. Accepted papers will be published in the International Conference Proceedings. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conferenceCall for Papers1. Applications of AI in Industrial EngineeringIntelligent Manufacturing SystemsAI-Driven Process OptimizationSmart Factories and Industry 4.0AI for Predictive Maintenance in Industrial SystemsRobotics and Automation in ManufacturingAI in Supply Chain and Logistics OptimizationData-Driven Decision Making in Industrial Environments2. Industrial Optimization and AIAI for Industrial Scheduling and PlanningMulti-Objective Optimization using Machine LearningAI-Enhanced Process Control SystemsEnergy Efficiency Optimization in Manufacturing using AIAI-Enabled Simulation and Modeling for Industrial Systems3. AI for Quality Control and Safety in IndustryMachine Learning in Industrial Quality ControlAI for Predicting Failures and Defects in Production LinesSafety Monitoring and Hazard Prevention in Industrial 4. Artificial Intelligence in Industrial Supply ChainsAI and Blockchain Integration for Industrial Supply ChainsSupply Chain Management with Deep Learning TechniquesAI in Logistics and Transportation NetworksData Analytics for Improving Inventory Management in IndustryAI for Risk Management and Resilience in Supply Chains5. Smart Manufacturing and IoTIoT and AI Integration for Real-Time Industrial MonitoringAI in Predictive Maintenance using IoT SensorsDigital Twin Technology for Industrial ApplicationsAI-Driven Decision Support Systems in Industrial Operations6. Industrial Robotics and Autonomous SystemsAI and Machine Learning in Industrial RoboticsAutonomous Mobile Robots in ManufacturingHuman-Robot Collaboration in Industrial EnvironmentsAI for Vision-Based Robotic Systems in Production Lines7. AI in Industrial Process AutomationDeep Learning for Process Automation in IndustryIntelligent Automation Systems in Industrial EnvironmentsAI-Driven Adaptive Control Systems for Industrial ProcessesEdge AI for Real-Time Process Control and Decision Making8. AI-Enabled Sustainability in Industrial SystemsAI for Sustainable Manufacturing PracticesMachine Learning for Energy Consumption OptimizationSmart Waste Management and Recycling Systems using AIAI Solutions for Reducing Carbon Footprint in Industrial Operations9. AI for Data-Driven Industrial Decision MakingPredictive Analytics for Industrial Process ImprovementAI in Industrial Big Data AnalyticsDecision Support Systems using AI in Industrial OperationsMachine Learning for Process Optimization in Real-Time Manufacturing10. AI in Industrial Human-Machine InteractionHuman-Centered AI Design for Industrial ApplicationsAI for Improving Human Performance in Industrial SystemsCognitive Computing and Human Factors in Industrial AIAI and Virtual Reality for Industrial Training and Simulation11. AI and Industrial CybersecurityAI for Threat Detection and Prevention in Industrial NetworksIndustrial Cybersecurity with Machine LearningAI-Driven Risk Management for Industrial IoTAutonomous Systems for Securing Critical Infrastructure in Industry12. AI in Smart Energy and Industrial SystemsAI for Smart Grid and Industrial Energy ManagementAI in Energy Optimization for Industrial FacilitiesMachine Learning for Predicting Energy Demand in Industrial SystemsAI-Driven Energy Efficiency in Industrial Operations

2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE)Wuhan, China | April 17-19, 2026Link: https://cste.net/index.htmlSubmission Deadline: December 30, 2025Notification Deadline: January 30, 2026Registration Deadline: February 15, 2026Conference Venue: Central China Normal University (Nanhu Campus), Wuhan, Hubei, China2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE) will be held in Wuhan, China during April 17-19, 2026. CSTE 2026 is co-sponsored by Central China Normal University, China and IEEE, hosted by Faculty of Artificial Intelligence in Education, Central China Normal University, China.At CSTE 2026, participants will have the opportunity to engage with leading experts in education technology, and to gain insights into the latest research and best practices in the field. The conference will also provide a platform for networking and collaboration, enabling participants to build valuable connections with colleagues from around the world.Please visit our website for more information on the conference, including important dates, submission guidelines, and registration details. If you have any questions or concerns, please do not hesitate to contact us. We hope to see you in Wuhan in 2026!Submitted papers will be peer reviewed by program committees and technical committee, and accepted papers will be published into conference proceedings by IEEE after registration and presentation. The proceedings will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex & Scopus.Selected papers will be published into Lecture Notes in Educational Technology(Electronic ISSN: 2196-4971 & Print ISSN: 2196-4963) as a proceedings book volume, which has been accepted by Springer. Final publication will be subject to the manuscript review by Springer. Those papers will be sent to indexing databases like: Scopus, ACM Digital Library, ERIC, INSPEC, Norwegian Register for Scientific Journals and Series, SCImago. Call for PapersTrack 1: Educational Technologies and Systems▪ E-learning platforms and tools▪ Computer-supported collaborative learning▪ Mobile and ubiquitous learning▪ Gamification and game-based learning▪ Virtual and augmented reality in education▪ Adaptive learning systems▪ Educational robotics and automation▪ Emerging technologies in education▪ Cloud computing in education▪ Immersive learning environments▪ Wearable technology in educationTrack 2: Computer-supported Collaborative Learning and Social Computing▪ Collaborative learning theories and models▪ Social computing and learning▪ Online communities and networks in education▪ Social media in education▪ Collaborative technologies in education▪ Computer-supported argumentation and debateTrack 3: Artificial Intelligence in Education▪ Intelligent tutoring systems▪ Natural language processing in education▪ Knowledge representation and reasoning in education▪ Intelligent educational systems and applications▪ Smart learning environments▪ Cognitive modelling and educational implicationsTrack 4: STEM Education and Computational Thinking▪ STEM education and pedagogy▪ Computational thinking and coding education▪ Robotics and automation in STEM education▪ Computational modeling and simulation in education▪ Educational applications of Internet of Things▪ Digital fabrication and maker educationTrack 5: Educational Data Mining and Learning Analytics▪ Data-driven approaches to education▪ Learning analytics and visualization▪ Educational data mining and machine learning▪ Big data in education▪ Personalized learning▪ Educational decision making▪ Assessment and evaluation in e-learningTrack 6: Digital Technologies for Human Development▪ Digital technologies for social-emotional learning▪ Digital technologies for psychological wellbeing▪ Digital technologies for self-management and regulation▪ Digital technologies for teacher development▪ Digital technologies for labor/moral/character education▪ Sustainable development in a digital world▪ Innovative solutions to address educational inequityTrack 7: Inclusive EdTech: Diversity, Equity, and Innovative Pedagogies▪ AI-enhanced pedagogy for diverse learners▪ Learning analytics-driven differentiation▪ Accessible immersive learning pedagogies▪ Culturally responsive edtech solutions▪ Equity-focused digital assessments▪ Micro-credentialing for diverse learners▪ Smart pedagogy training for educators▪ Multilingual learning support in EdTech▪ Inclusive gamification frameworks▪ Student-centered digital pedagogy▪ AI-augmented project-based learning▪ Hybrid flipped classroom models▪ UDL-based digital resource design

AI Basics for ProductivitySingapore University of Technology and Design Link: https://www.sutd.edu.sg/course/ai-basics-for-productivity/course-fees-and-funding/Course dates: 1) 19 – 20 January 2026 2) 26 – 27 February 2026Course Fees and Funding Who should attendAdult learners with some computer knowledge and a keen interest in artificial intelligence. Industry leaders, managers and executives who are curious about the benefits of Generative AI chatbot for businesses and want to learn how GPT technology can help advance their careers and businesses.Programme OutlineLearning Objectives and StructureBy the end of this course, learners are expected to have a solid foundation in AI, an understanding of its applications, and the ability to utilize AI tools effectively in a business context. They will also gain experience in project management and event organization, further enhancing their skill set.Day 1Overview of AITypes of AI and ApplicationsIntroduction to GenAI and CopilotProject BriefingDemo / Practice Session on CopilotProject PlanningProject Discussion/ExecutionReview of Session 1Day 2Introduction to AI TechnologiesSharing of Case StudiesUnderstanding limitations of AI / Societal and Ethical IssuesOnline QuizTeam Project PresentationThe future of workAssessmentAssessmentIn-class Online QuizTeam Project

AI-NEXTHub of Talents in AI and Innovation Nexthttps://www.ai-next.or.thadmin@ai-next.or.thCore Mission of the Center In a world where skills must keep pace with the changes of the digital labor market, we bring together a network of AI and technology experts to create a continuous, comprehensive, and accessible learning ecosystem.Because we believe that AI is not here to replace people, but to serve as a tool that enhances human potential and opens up opportunities for everyone to grow alongside the new era.Thailand's AI expert network showcases a wide range of specialized fields across sectors. Key areas of expertise include:Artificial Intelligence in Natural Language Processing (NLP)AI in Healthcare and Medical TechnologyGeographic Information Systems (GIS) & MobilityBig Data AnalyticsImage Processing & Computer VisionUrban Computing, UAV (Drones), and Remote SensingAI in Agriculture and Agricultural RoboticsAI for Automotive and Intelligent Transportation SystemsDigital Engineering & Computing SciencesMathematical Modeling & Applied Computing Our Strategic Goals1. Develop AI Curriculum and Human CapitalWe design and deliver AI-related training in collaboration with schools and universities to equip people with digital skills tailored to the Thai context and global demands.2. Drive AI Research and InnovationWe support strategic alignment and integration of national priorities to advance urgent and impactful research across diverse regions and sectors.3. Apply AI in IndustryWe initiate projects that enhance operational efficiency, reduce costs, and foster the adoption of AI-powered automation in industrial applications.4. Advance AI Policy and EthicsWe promote AI regulations aligned with international frameworks such as the EU AI Act, and advocate for the ethical use of AI with sustainability, safety, and transparency in mind.5. Foster International CollaborationWe establish global partnerships and formal agreements (MOUs) to position Thailand as a regional hub for international AI cooperation.6. Support AI Startups and Innovation EcosystemWe expand platforms such as AI-as-a-Service to catalyze startup growth, support AI infrastructure, and strengthen the innovation ecosystem.

International Journal of Computer Applications in Technologyhttps://www.inderscience.com/jhome.php?jcode=ijcatSCImago: https://cmu.to/CWHNk8 issues per yearISSN online: 1741-5047ISSN print: 0952-8091IJCAT is indexed in:Scopus (Elsevier)Compendex [formerly Ei] (Elsevier)Web of Science: Emerging Sources Citation Index (Clarivate Analytics)Academic OneFile (Gale)ACM Digital LibraryIJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.Topics covered includeComputer applications in engineering and technologyComputer control system designCAD/CAM, CAE, CIM and roboticsComputer applications in knowledge-based and expert systemsComputer applications in information technology and communicationComputer-integrated material processing (CIMP)Computer-aided learning (CAL)Computer modelling and simulationSynthetic approach for engineeringMan-machine interfaceSoftware engineering and managementManagement techniques and methodsHuman computer interactionReal-time systems

Chief Data and AI Officer Programmehttps://cmu.to/OG1O6 Join usProgramme OverviewNUS School of Computing has launched the Chief Data and AI Officer Programme to help you lead the data strategy and analytics agenda of your organisation. This programme will teach you the technologies, tools and methodologies to manage data as a strategic asset, generate actionable analytical insights, foster innovation and reach closer to tangible business benefits. Unlock enterprise data value, align strategy with business needs, and become a trusted business partner.Learning OutcomesEvaluate strategic implications and innovative value generation through proficient data managementAnalyse strategies for capitalising on data monetisationExplore innovation and emerging technologies in the domainExamine cyber risk through proficient application of data analytics and ethical considerations, resulting in effective management of risks and complianceEmpower the team through the acquisition of advanced leadership proficiencies in team management, negotiation, influence, and change managementWho is this programme for?Become a data strategist to drive tangible business valueSeasoned executives eager to champion AI strategies and leverage data as a key asset to spearhead sustainable and profitable growth.Senior professionals with a working knowledge of data management who want to foster innovation through the power of data, and AI to propel business expansion and assume CXO positions.Business leaders looking to explore latest opportunities to drive digital innovation and long-term strategic growth. Programme ModulesPillar 1: Data Foundations for Enterprise Value CreationPillar 2: Strategic Levers for Business GrowthPillar 3: Intelligent Technologies and Scalable AIPillar 4: Risk, Resilience and Responsible GovernancePillar 5: Transformational Leadership in the Age of AI

Researchers interested in logistics can explore detailed information about the logistics industry on this platform. Company Database With over 3,000 companies profiles in Logistics sector based in five GMS countries, namely Cambodia, Laos, Myanmar, Vietnam and Thailand. https://logisticsgms.com Operated by the Mekong Institute with support from the Mekong–Republic of Korea Cooperation Fund (MKCF), the GMS Logistics Database is part of a regional project aimed at lowering cross‑border logistics costs, enhancing service quality and timeliness, and integrating national logistics providers into regional and global supply chains. The GMS Logistics Database is a regional web and mobile information platform that connects logistics providers across the Greater Mekong Subregion. For Thailand, it hosts profiles of approximately 237 logistics companies, offering services such as freight forwarding, warehousing, customs brokerage, transport, and more. Members can use it for business matchmaking, forums, regulatory insights, and news updates to support cross-border logistics collaboration.Features & ServicesCompany Database:Contains profiles of over 200 logistics companies registered in Thailand (237 entries listed) GMS Logistics+5GMS Logistics+5GMS Logistics+5.Providers include freight forwarders, warehouse operators, customs brokers, trucking companies, inland container depots, rail‑freight operators, consolidators, crane/MHE operators, and more GMS Logistics+1GMS Logistics+1.Users can sort and filter by location, service type, keyword, or review rating to identify suitable providersGMS Logistics.Member Functionality:Registered members can customize company profiles, list their services or products, use forums, and engage in real‑time B2B and B2C matching with other logistics operators across the GMS region GMS Logistics+5GMS Logistics+5GMS Logistics+5.Business Forum:Offers an online platform including instant chat for sharing market trends, regulatory updates, business interests, and collaboration opportunities among logistics stakeholders GMS Logistics+1GMS Logistics+1.Regulations & Agreements:The site includes an information hub with the latest logistics and transport regulations, national and international logistics agreements, and policy updates GMS Logistics.News & Events:Provides event calendars and news related to logistics developments, training programs, and sector forums for the GMS region ResearchGate+6GMS Logistics+6GMS Logistics+6.Mobile App:A companion mobile application is available to enable timely and efficient logistics services and networking on the go GMS Logistics.This platform provides green logistics features, such as those shown here.

PhD Call for Applications SummaryAcademic Year 2025/2026 – 41st CycleDeadline: 6 June 2025Research Field: Professions and applied sciencesRead more at https://euraxess.ec.europa.eu/jobs/funding/phd-2025/26-data-scienceApplicationThe Call for Applications for the 2025/2026 PhD Programs is officially open. Applicants, regardless of their nationality, age and gender are invited to submit their applications. Applicants can find all essential information in the relevant paragraphs of this guide.Further information along with possible modifications to, requirements, submission procedures, available positions and/or scholarships, will be given, before the deadline, through the pages:• https://dottorati.uniroma2.it/corsi-di-dottorato_p10297.aspx• https://dottorati.uniroma2.it/corsi-di-dottorato_p10299.aspx AboutOutlineThe availability of huge volumes of data, basically characterized by the increasingly extensive and pervasive use of digital technologies, leads the ongoing revolution in many areas of social, economic and industrial reality, posing new challenges to the scientific and technological research in Computer Science, Artificial Intelligence and in several other disciplines, from Physics to Economics, from Medicine to Human Sciences. In this context, the accessibility and processing of large amounts of data, both in centralized and distributed systems, their usage in the design and implementation of complex decision-making models, favors the study and development of autonomous systems in different fields (from mission-critical applications to the studies of natural and social phenomena, the prediction of economical dynamics as well as the diagnostics and planning in medicine or in industrial robotics). The PhD in Data Science is aimed, in its markedly interdisciplinary nature, to train, at the highest level, experts able to conduct research to understand and master the mathematical, statistical and computer science methodologies of data analysis and processing as well as the underlying technologies supporting applications in a wide variety of of scientific, industrial, economic, medical and social contexts. The reasons for a new PhD program in Data Science are many and significant. First of all, the offer in Central Italy of a doctoral training on these topics is still quite limited, but at the same time it is confronted with an increasing demand for experts in Data Science. This training should be understood with a characterization focused on mathematical-computer science skills, then a strong scientific-technological vocation, properly integrated on established statistical, economic, social and linguistic principles, thus able to give answers to the dynamics of this area of expertise that is very accelerated and strongly interdisciplinary and culturally heterogeneous. The School of Doctorate represents the indispensable ground for a wide range of students of Computer Science, Computer Engineering, Economics, Physics, Mathematics and not only, at our University of Tor Vergata. Today such students apply and succeed (according to various data sources) at other Schools. These students are attracted by initiatives in Data Science because in them is clear and dominant the role played by the computational knowledge, the strong scientific character of the educational objectives and the diversified potential applications: from Physics to Economics up to Social Sciences. It is interesting to note that many of the courses mentioned here, for example, the Master Degree Courses in Computer Science at the Department of Business Engineering, which have a large number of students, unlike other courses are not decreasing in number of enrolled students. This phenomenon is both cause and effect of the centrality that the themes of culture and digital transformation play in the industrial and social spheres of our country.See PHD IN DATA SCIENCE | TOR VERGATA

Programme OverviewPROGRAMME FEE: US$5,000STARTS ON: 31 March 2025DURATION: 20 weeks (4 - 6 Hours/ week)This new year, invest in a learning journey to upskill and gain a competitive edge. Emeritus is collaborating with NUS School of Computing to help you unlock transformative career growth. Enrol before 24 January 2025 using this code: APAC200ALL8364 and get USD200 programme fee benefit. Limited seats to success available. Claim yours now.Application fees: USD60Read more at https://cmu.to/A8Tt0With organisations and consumers being driven by technological innovations, such as Artificial Intelligence, Automation and Data Analytics, organisations are looking for professionals with a deep understanding of these innovations who can foster significant organisational impact. This is the time to boost your career. The NUS School of Computing Technology Leadership and Innovation Programme caters to individuals aspiring to drive strategic transformation in AI, digitalisation and innovation domains. Through the carefully curated modules and capstone project, you develop the requisite mindset and skills to implement impactful strategies using global technological innovations .Programme Modules (Module 1-18)Module 1: Overview of Digital TransformationModule 2: Digital Business ModelsModule 3: Strategy Formulation and Process of Digital TransformationModule 4: Digital Transformation Action PlanModule 5: Role of Data and AnalyticsModule 6: ML-Deep Learning and Neural NetworkModule 7: Robotics and Reinforcement Learning Module 8: Generative AIModule 9: AI and Business ApplicationModule 10: CybersecurityModule 11: Other Technologies: IoT, AR/VRModule 12: Innovation Strategy to Address Digital DisruptionModule 13: System Thinking and Agile MethodologiesModule 14: Implementing Digital InnovationModule 15: Building Team and Digital Culture for TransformationModule 16: Managing Digital Complexities and Change ManagementModule 17: Leading through ESG ChallengeModule 18: Technology and Innovation: Security and Governance

Call for PapersVenue: SingaporeImportant DatesSubmission Deadline: January 20, 2025Notification Deadline: February 10, 2025Registration Deadline: February 20, 2025Link: https://www.icgea.org/index.htmlSubmitted papers will be reviewed by Technical Program Committee and sub-reviewers. All accepted (Registered & Presented) papers of ICGEA 2025 will be submitted for inclusion into IEEE Xplore, indexed by EI Compendex & Scopus, etc. Energy is inarguably one of the most pressing global issues faced by humanity in this century, and a reliable and sustainable energy system is crucial to achieve a more sustainable future. The world's energy consumption is expected to nearly double by 2050, with most of the growth happened in countries outside of the OECD. Sustainable development requires consistent access to clean, affordable energy to support economic activity, improve national development, and improve human wellbeing. In addition, there is a strong link between the energy sector and global climate change due to the impact of CO2 arising from burning the fossil fuels. Study shows that carbon emissions hit the peak in 2018, mainly from the carbon-rich fossil fuels that generated nearly 85% of the world’s energy. Taking the above-mentioned as a backdrop, energy is certainly a complex technology involving multidisciplinary research, development, demonstration and deployment in energy systems, grid systems and applications, especially in the energy transition era.In anticipation, the combination of rising populations and living standards of human society in the next 50 years will demand for the development of massively scaled sustainable energy and low-carbon electricity generation solutions with an objective of battling the climate change. These challenges, albeit an unparalleled threat to the business-as-usual, also represent a remarkable opportunity for research, innovation, and green growth.With the success of the previous 8 year, ICGEA came to its 9th edition in 2025. It is proud to announce that 2025 The 9th International Conference on Green Energy and Applications will be held during March 7-9, 2025 in Singapore, which is sponsored by Singapore Institute of Electronics. The theme of ICGEA 2025 is to bridge and connect presenters and audience with different disciplines and background as well as from different geographical locations. The most interesting and disruptive technology often happened at edges and boundaries of different disciplines, and so the aim of the conference is to bring these brains together to synthesize the ideas and knowledge from different sources to achieve the energy innovation.ICGEA 2025 scope covers, but not limited to, the following topics:• Advance biofuel for a sustainable heavy-duty transport and aviation• Bioenergy supply management strategies• Biofuels in developing economies• Biomass• Carbon and Methane capture, storage and utilization• Electric Power Generation, Transmission and Distribution• Energy and Health• Energy and Water• Energy efficiency in building designs and management• Energy in food production and processing• Energy storage and cyber security for smart grids• FACTS and HVDC controllers• Geothermal energy• Green Buildings and Infrastructures• Green energy and energy access• Green energy and social benefits• Green Energy Education and Training• Green Energy in Transport• Green Industrial Technology• Green Policies and Programmes• Green Power• Greening the Fossil Fuels• Greening Urbanization and Urban Settlements• Hybrid vehicles and its integration• Hydropower• Income generation with green energy• Increasing energy access with clean resources• Integration of renewable energy sources in buildings• Low carbon city scenarios, plans and actions• Mainstreaming low-carbon innovations• MDGs and Green Energy• Microgrid and active distribution network management• National bioenergy programmes: economic, political and social issues• Natural gas research and development• Power system economics, operation and control• Protection, reliability, and restructuring of power systems• Rapid urbanization and energy-environmental implications• Regulatory policies and program for implementation and control• Renewable Energy for Power and Heat• Role and future of electric vehicles in smart grids• Rural Development through Green Energy• Settlement forms and functions and energy• Smart Grid and Renewable Energy Integration• Solar thermal and photovoltaics• Sustainable coal use and clean coal technologies• Sustainable materials for buildings• Transformation of power grids to smart grids• Wind energy

Call for Expression of Interest for MSCA Postdoctoral fellowships at UNIGE – N. 7 Optimization and machine learningHosting InformationOffer Deadline: Mon, 5 May 2025 - 13:00Organisation / Company: University of GenoaLink: https://euraxess.ec.europa.eu/jobs/hosting/call-expression-interest-msca-postdoctoral-fellowships-unige-n-7-optimization-andUniversity of Genoa, UNIGE, located in Genoa, ITALY, welcomes postdoctoral researchers of any nationality, with an excellent track record, to apply to the European Commission Marie Sklodowska-Curie (MSCA) Postdoctoral Fellowships 2025. Our University has been beneficiary of several MSCA-PF in Horizon 2020 and Horizon Europe. The Marie Sklodowska Curie (MSCA) Postdoctoral Fellowship is one of funding scheme of the European Commission’s Horizon Europe Research & Innovation programme, dedicated to excellent research promoting international mobility, as well as interdisciplinary and intersectoral exchanges. MSCA fellowship grant provides a competitive salary plus mobility and family allowances if applicable, as well as a contribution to cover research, training and networking costs. The research projects will have 2- or 3-years duration. Selected candidates will be provided with special support for proposal writing and development. The University of Genoa will organize in May the fifth edition of the Masterclass MSCA@UniGe. Selectedcandidate researchers will have the opportunity to attend a 2-days online intensive training and coaching course on how to write a successful proposal. This masterclass is a pathway of support to candidates and their supervisors in preparing project proposal, including prescreening activity of the draft proposals and the organisation of dedicated B2B meetings, by the European Research Office of UniGe, National Contact Point and other experts.The masterclass will take place on May/June2025.More information: Masterclass MSCA@UniGeMSCA domain: Mathematics (MAT)Research Project DescriptionI work in the field of optimization for machine learning and inverse problems. My main interest is the development and the application of mathematical optimization techniques to enhance the performance, efficiency, and interpretability of models and algorithms. Optimization plays a crucial role in the of training machine learning models. The goal is to minimize an empirical error, which is an approximation of the true objective function, perturbed by stochastic noise. In modern applications, the problem is often high dimensional, and most successful optimization methods are based on simple iterative procedures, such as gradient descent or stochastic gradient descent. I am interested in many challenges related to the behavior of gradient based methods such as: convergence in the nonconvex setting, implicit regularization properties, scalable, adaptive, asynchronous and distributed implementations.Research GroupMaLGa is a joint research center between computer science and mathematics. Its activities span a wide range of diverse but connected topics, including Computer Vision, Computational Harmonic Analysis, Data Science, Statistical Learning and Optimization.ApplicationAn expression of interest shall be sent to prof. Silvia Villa (silvia.villa@unige.it, Orcid ID: 0000-0002-6232-5631) within 5th May 2025.Your file should contain the following elements:A short CVA one-page research proposalOne/two letters of reference (optional)For more information, please contact prof. Silvia Villa (silvia.villa@unige.it).EligibilityFor MSCA-PF 25 call (opening foreseen on 9th April 2025), at the deadline for the submission of proposals (10th September 2025) postdoctoral candidates shall have a maximum of 8 years of postdoctoral research experience and must not have resided or carried out their main activities in Italy (for European Fellowship) or in the Third Country of the outgoing phase (for Global Fellowship) for more than 12 months in the 3 years immediately prior to the abovementioned deadline. More info on MSCA PF are available at the following link: https://marie-sklodowska-curie-actions.ec.europa.eu/actions/postdoctora…

Call for ParticipationThe Online Training on UBC Mechanisms and Holistic Career ServicesSpeakers from EU partner in the INNO4Tourism Project University of Macedonia, Thessaloniki, GreeceWebsite: https://inno4tourism.euE-mail: cmu.inno4tourism@gmail.comTraining Programme OutlineModule 1 - UBC MechanismsModule 2 - Holistic Career ServicesModule 3 - Establishing UBC and Career Services: A Guide for HEIs On-siteChiang Mai University, Chiang Mai, ThailandOnlineZoom ID: <To be created by PSU or UOM>Passcode: <To be created by PSU or UOM> Place: Chiang Mai University, ThailandASTRA R&D Innovation & Consulting Hub 3rd floor, CAMT Building, College of Arts, Media and Technology, Chiang Mai University