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Senior Lecturer in Computational Social Science and Digital Literacy
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 534005 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Teaching Staff Applications are invited for an appointment as Senior Lecturer in Computational Social Science and Digital Literacy (Ref.: 534005) in the Faculty of Social Sciences, to commence as soon as possible, on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. The Faculty of Social Sciences (FOSS) offers a wide range of undergraduate and taught postgraduate programmes that integrate quantitative, computational and social science approaches. The appointee will play a key role in advancing the Faculty’s offerings in Computational Social Sciences (CSS), Master of Social Sciences in Social Data Analytics (MSDA) and Maser of Public Administration (MPA). The appointee will contribute to teaching and curriculum development across undergraduate and postgraduate programmes, supervise graduate capstone projects, support programme operations (including admissions, recruitment, and digital promotion activities), advise students on their academic and professional development, and contribute to cross‑disciplinary collaborations within the Faculty and the University. Duties and Responsibilities The appointee will teach and coordinate the following courses (or their equivalents): Undergraduate (UG) Courses FOSS – Introduction to Computational Social Science SOCI – Programming for Social Scientists AILT – Digital Literacy Through a Social Sciences Lens Taught Postgraduate (TPg) Courses MSDA – Statistical Foundations MSDA – Causal Inference in the Social Sciences SOCI – Quantitative Research Methods Selection Criteria Applicants should possess a Master’s degree or above in Computational Social Science, Data Analytic Statistics, Sociology, Political Science, Public Policy or a relevant social science discipline with strong quantitative focus. Priority will be given to those with: The ability to teach Machine Learning, Programming (Python-based), Natural language processing and Social Network Analysis courses on modern computational social science methods at the graduate level; A track record of completed projects working with computational models and large-scale social science data; Post-qualification working experience in relevant professional or academic settings; Interdisciplinary teaching and research; and Experience working with persons from diverse social, cultural and linguistic backgrounds is expected, alongside excellent communication skills in English. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. How to Apply The University only accepts online application for the above post. Applicants should apply online, and upload (1) a cover letter; (2) an up-to-date CV; and (3) a teaching statement. Review of applications will start as soon as possible and continue until January 9, 2026, or until the post is filled, whichever is earlier.
Salary
Competitive salary
Posted
22 Dec 2025
Faculty Opening in Centre of Professional Communication
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The Centre for Professional Communication (CPC) equips all SIT students with critical communication skills that are essential for academic and professional success. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready graduates. We currently have positions available from Lecturer to Associate Professor. Successful candidates will join the Centre as members of a team of accomplished experts who are passionate about incorporating critical thinking in the teaching of academic and professional communication skills that are transferable to the workplace and vital for professional success. Successful candidates will also be actively involved in embedding the teaching of specific academic writing, speaking and workplace communication skills in content modules across academic years and undergraduate programmes in different disciplines. CPC faculty are expected to develop and update curriculum through applied research in communication in the disciplines. They are also provided with paid leave to undertake consultancy work with industry and/or conduct courses for in-employment learners. We seek collegiate and team-spirited candidates who have corporate people management experience with thought leadership in professional communication and/or corporate training experience in professional communication. Candidates should possess at least a Master’s degree or an earned PhD or equivalent from a reputable university with specialisation related to academic and/or professional communication. Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below.
Salary
Competitive
Posted
22 Dec 2025
Teaching Faculty Position - Data Engineering and Science
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty in Data Engineering and Data Science to lead a course providing the practical foundation necessary for building robust data workflows essential for modern AI, with a specific focus on Generative AI systems. This role requires delivering expert instruction on all stages of the data lifecycle, including the collection, processing, storage, and analysis of large-scale data. Key topics include data acquisition, quality assurance, statistical profiling, data mining, and the design of scalable data pipelines, with particular attention paid to the rigorous data preparation and curation required for training large generative models (like LLMs). Responsibilities include: Delivering high-quality instruction in Data Engineering, Data Science, and related AI disciplines. Developing and maintaining course content, laboratory exercises, and assessments aligned with current industry standards. Creating an engaging, application-oriented learning environment. Mentoring and advising students in course projects and applied data initiatives. Collaborating with faculty to advance teaching quality and curriculum innovation across programs. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Computer Science, Data Science, Artificial Intelligence, Information Systems, or a related field. Demonstrated expertise in Data Engineering, Data Management, and Data Analytics. Experience with relevant tools and platforms (e.g., SQL, Python, Spark, Hadoop, cloud-based data systems). Strong commitment to teaching excellence and experiential learning. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI
Salary
Competitive
Posted
22 Dec 2025
Professional Officer (All Levels) (Electronics Engineering)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs Job Requirements A good degree with a major in Electronics Engineering or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. Deep technical specialist with 10 or more years of working experience in development / R&D or related areas in electronics (Digital / Analog / Consumer / Embedded Systems) would be preferred. Experience in following areas is highly desirable: Hands-on experience with both analogues and digital electronics Hands-on experience in developing, implementing applications, principles and programming in areas of embedded systems, IoT/IIoT, control systems, etc. Design of circuit schematics for layouts and development with both active and passive components, incl. knowledge of PCB routing, fabrication and prevalent IPC standards. Hands-on competency in testing and designing electronic circuits and integrating circuits and their systems Advantageous to have prior knowledge in areas such as: Microcontroller programming (C/C++, Python, LabView) and firmware development. Working experience with IoT, data analytics, artificial intelligence, machine learning, etc. Working experience with various development boards systems like Arduino, Raspberry Pi, Intel development boards, etc Extensive hands-on experience and knowledge of industry practices and engineering principles to bring industry perspective to SIT. Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage
Salary
Competitive
Posted
22 Dec 2025
Teaching Faculty Position - Business, Project Management
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course, "From Vision to Execution," focused on core project management principles for AI-driven projects. The course emphasizes applying both traditional and agile methodologies to the unique challenges of projects involving AI technologies, including data management, ethical considerations, and integrating AI tools for decision-making and risk management. Responsibilities include: Delivering high-quality instruction in Project Management and related areas in AI and technology projects. Developing and maintaining course content, exercises, and project-based learning modules aligned with current best practices. Creating an engaging learning environment that emphasizes practical skills, problem-solving, and teamwork. Mentoring and advising students in project planning, execution, and management challenges. Collaborating with colleagues to integrate project management principles across AI curricula. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Project Management, Business Administration, Management, Engineering Management, or a closely related discipline. Demonstrated expertise in project planning, execution, risk management, or agile methodologies. Familiarity with project management tools (e.g., MS Project, Jira, Asana, or equivalent) and AI/technology project contexts is desirable. Strong commitment to teaching excellence, experiential learning, and student development. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI
Salary
Competitive
Posted
22 Dec 2025