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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

Talent mobility, or the free movement of skilled labour across national borders, is a central tenet of ASEAN’s drive toward regional economic integration. The ASEAN Economic Community (AEC) Vision 2025 includes facilitating the movement of investments, skilled labour, business professionals, and capital. To this end, the ASEAN Economic Community Blueprint 2025 outlines initiatives such as implementing mutual recognition agreements (MRAs) for skilled professionals, strengthening commitments under the ASEAN Agreement on the Movement of Natural Persons, and reducing regulatory barriers by standardising hiring requirements and documentation.Furthermore, the ongoing negotiations on the ASEAN Digital Economy Framework Agreement (DEFA) include digital talent mobility as one of its nine key pillars.These commitments recognise the importance of developing, attracting, and retaining talent in accelerating ASEAN’s economic growth. As technology-driven digital transformation is reshaping the region, human expertise is more essential than ever. Skill gaps will limit the region’s ability to maximise digital opportunities. For instance, a shortage of skilled ICT professionals, including cybersecurity experts, hampers our ability to address increasingly complex cybersecurity threats.ASEAN Member States have negotiated past agreements to facilitate cross-border professional practice. Mutual recognition agreements were signed between 2005 and 2012 for sectors including engineering, nursing, architecture, medicine, dentistry, and tourism. In 2012, the Member States signed an agreement on the movement of natural persons, establishing a framework for the temporary cross-border movement of workers. ASEAN Member States also signed the ASEAN Comprehensive Investment Agreement (ACIA), which includes provisions to streamline business visa procedures for citizens within the ASEAN. These are important first steps to foster talent mobility.Read more at https://theaseanmagazine.asean.org/article/opportunities-for-talent-collaboration-in-asean-in-the-digital-ageThe ASEAN Secretariat70A Jalan Sisingamangaraja Jakarta 12110P: (+6221)7262991, 7243372F: (+6221)7398234, 7243504M: ASEAN-magazine@asean.org

The 10th International Conference on Digital Arts, Media and Technology (DAMT) and8th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (NCON)Link: http://icdamt.orgConference Location: Nan, ThailandConference Information: krittika.ka@up.ac.th, roungsan.cha@mfu.ac.th and walaiporn@camt.infoCALL FOR PAPERThe 10th International Conference on Digital Arts, Media and Technology (DAMT) and 8th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (NCON) will be jointly held in Nan, Thailand from 29 January – 1 February 2025. Both conferences were formed by Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology Association of Thailand (ECTI Thailand) in cooperation with international forum in this region. The objective is to create an opportunity for students, academics, and industry researchers to exchange ideas and discuss development in digital arts, media and technology for strengthening the growth of creative industries.We look forward to receiving your contributions and to see you at the joint conference of ECTI DAMT and NCON 2025.Technical TracksECTI DAMT and NCON 2025 have the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas:DAMT-20251. Digital Arts and Media2. Knowledge and Innovative Management3. Digital Transformation4. Software Engineering5. Spatial Computing6. Artificial Intelligence and Machine Learning7. Data Science and TechnologyNCON-20251. Devices, Circuits and Systems2. Communication and Signal Processing3. Control Engineering and Automation4. Electrical Power Systems and Power Electronics5. IOT and Edge ComputingImportant Date:i. Deadline for Special Session and Tutorials Proposal:ii. Deadline for Paper Submission: Round 1 : 18 October 2024 Round 2 : 22 November 2024iii. Notification of Acceptance: Notification Round 1 : 15 November 2024 Notification Round 2 : 20 December 2024iv. Deadline for Final Manuscript Submission: 3 January 2025v. Conference Dates: 29 January – 1 February 2025Publisher: IEEEScopus Indexed: Conference PaperVenueNantrungjai Boutique Hotel is located just a 5-minute drive from Nan Airport. And it is 2 kilometers from the city center and the stadium, offering a tranquil haven amidst lush garden views. Indulge in the hotel’s luxurious rooms Free airport transfer and seamless Wi-Fi connectivity throughout the hotel.

Application deadline: July 4th, 2024Location: Nova Information Management School Universidade Nova de Lisboa Campus de Campolide Lisbon, PortugalLink: https://academicpositions.com/ad/nova-ims/2024/faculty-positions-for-assistant-professor-businesss-intelligence-and-analytics/218536The PositionNOVA Information Management School (NOVA IMS) at Universidade Nova de Lisboa invites for an expression of interest for a position as a Professor (at Assistant/ Associate or Full Professor level) in Business Intelligence and Data Warehouses.The position is to be filled in NOVA IMS’ facilities in Lisbon, Portugal.Salary and conditions are competitive and will be commensurate with qualifications and experience.QualificationsNOVA IMS seeks a candidate with a strong commitment to excellence in scholarly research and teaching. He/ she will be expected to teach in undergraduate as well as graduate programme classes related to Business Intelligence and Databases and one or more of the following areas of expertise:Business IntelligenceDatabase Management SystemData WarehousingData AnalyticsThe successful applicants should have a strong academic background and an international profile in the aforementioned expertise areas with a record of research publications in top-ranked field journals. Moreover, relevant experience in obtaining funding and managing national and international research projects will be considered an advantage.The successful candidate should be able to provide strong and committed leadership in education, including curriculum development, course coordination and educational innovation, the preparation and delivery of lectures, seminars and tutorials, consultation with students, and marking and assessment.The main requirements for applicants are listed below:PhD or doctoral degree from a recognized university;Excellent scientific achievements, documented by internationally recognized publications;Excellent didactic skills;Demonstrate an excellent teaching ability at both the undergraduate and graduate levels;High capacity to develop pedagogical innovations and to manage a programme;Excellent communication skills (oral, written, presentation);Proficient in English (oral and written);Ability to teach in English;Collaborative skills, initiative, result oriented, organization, and capacity to work in an interdisciplinary environment.The SchoolNOVA Information Management School (NOVA IMS, www.novaims.unl.pt) is the School of Information Management and Data Science of Universidade Nova de Lisboa. It is one of the 9 academic units of Universidade NOVA de Lisboa, a university institution with internationally recognized research and quality teaching.It is dedicated to converting data into value, under the motto “Data with Purpose”, through a wide range of activities, namely teaching, and research and development activities that are largely supported by international partnerships, offering a unique research environment to address its main research challenges.The quality of its training is recognized globally, through different national and international accreditations, and outstanding positions achieved in various fields, namely in the Eduniversal ranking (seven of its masters and postgraduate degrees are recognized among the best in the world in their respective areas).NOVA IMS has more than 30 years of accumulated experience in data processing and analysis, which it now puts at the service of digital transformation and the “Big Data” environments in which we live in, namely through a wide range of laboratories (NOVA ANALYTICS LABS powered by NOVA IMS). Today, it has more than 3.000 students from 81 different countries, and high levels of internationalization in all the activities it carries out from Lisbon to the world.How to applyInterested candidates are invited to send the application material listed below by email to rh@novaims.unl.pt (mentioning the reference of the application):A cover letter including motivation to join NOVA IMS;A complete curriculum vitae with a list of publications and a list of classes taught;A copy of the three most significant recent publications, communications or working papers.Reference: NOVAIMS_ BusinessIntelligenceandAnalytics