National University Corporation of Tsukuba University of Technology (NTUT)
About National University Corporation of Tsukuba University of Technology (NTUT)
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Research Fellow (Building Energy Optimization and Predictive Control) - DS1
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. Job Purpose The primary responsibility of this role is to deliver on an academic research project funded by BCA. The project is in collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors & hardware, and quantitative evaluation of energy savings. You will be required to coordinate with multiple internal and external parties for the successful deployment of technology, test-bedding, and energy performance evaluation. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Candidate will be required to establish test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors, hardware, quantitative evaluation of energy savings, etc. Meeting the deliverables by deployment, demonstration, and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables. Coordination with project internal and external team members, vendors, contractors, safety officers, for successful deployment of technology and testing. Assists in the co-supervision of final year projects (FYP) or capstone projects students under the Project PI. Assists the PI in drafting project reports, conference proceedings, and journal articles based on the outcome of the projects. Prepares and shares a fortnightly report of results from the computations with the PI. Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD degree in electrical/civil/mechanical engineering or other related fields Expert knowledge of building air-conditioning and mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation. Experience of test bed setup development, testing & commissioning, and performance analysis. Knowledge of industrial protocols, sensors, and control hardware. Knowledge of building management systems, software integration, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities. Ability to work in a team as well as independently. Able to work under pressure and meet deadlines. Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Able to work independently with strong data analytical skills, communication and interpersonal skills. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work
Salary
Competitive
Posted
15 Jan 2026
Professional Officer (All Levels) Generative AI (SPICE/ RaPID)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Job Purpose The Professional Officers Division (POD) houses two Innovation Centres – Rapid Product Innovation and Development (RaPID) Centre and SIT-Poly Innovation Centre of Excellence (SPICE) Centre. The RaPID Centre aims to guide businesses in their innovation and value creation activities through rapid product development and sample production while the SPICE Centre aims to support local Small and Medium Enterprises (SMEs) in their technology-driven transformation, innovation and talent development initiatives. These Innovation Centres house a dedicated pool of Professional Officers who come with specialised and deep technical skills acquired through extensive industry experience. Professional Officers work with industry partners to co-create commercially viable solutions. They deliver on projects that help industries and businesses to move up the innovation value chain. While working on these projects, Professional Officers will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key industry stakeholders that will translate the industry engagement into more innovation projects with SIT. Key Responsibilities Lead or co-lead innovation projects with industry. Involve in customer engagements including gathering of systems requirements and writing project scope. Involve in the full development life cycle, i.e., design, development, and testing Generate technical proposals, design documents, test documents. Manage laboratories and equipment to support academic programmes and applied research. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Job Requirements A degree in Computer Science or related Engineering discipline. Possessing a master’s degree, PhD degree and relevant certifications will be an added advantage. Experienced in developing machine learning and generative AI solutions for deployment into production. Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras) Strong programming skills in Python/Java/Javascript. Knowledge in LLM, RAG, LangChain would be advantageous. Knowledge of cloud computing and AI deployment (AWS, Google Cloud, Microsoft Azure) would be advantageous. Excellent problem-solving, analytical, and creative thinking skills. Work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline. At least 2 years working experience in AI/ML software development.
Salary
Competitive
Posted
16 Jan 2026
Lecturer in the Centre for Civil Society and Governance
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 534167 Work type: Full-time Department: Centre for Civil Society and Governance (30101) Categories: Teaching Staff Lecturer in the Centre for Civil Society and Governance (Ref.: 534167), to commence as soon as possible, on a two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree preferably in a Social Sciences, Business Management or related disciplines. They should have at least a combination of 5 years of professional, teaching and/or research experience, in Corporate Sustainability, Value Chain Management, Sustainability-related Disclosure or Circular Economy. Preference will be given to those who are accredited professionals with Environment, Social and Governance (ESG) reporting related accreditations. These may include, but not limited to, Global Reporting Initiative (GRI) Professional Certification, Sustainability and Climate Risk (SCR) Certificate, European Federation of Financial Analysts Societies (EFFAS). Experience in teaching programme development and management will be an advantage. The appointee will contribute to the overall teaching and action research effectiveness in a wide spectrum of sustainability-related activities at the Centre, and be responsible for curriculum planning and development, validation and accreditation of new and/or existing programmes, and teaching at both undergraduate and postgraduate levels. He/She will also support the work of the Academy for Sustainable Communities established under the Centre and perform other teaching and research-related duties as assigned by the Director. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At the 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. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV together with a research statement, a teaching statement, a writing sample. Review of applications will start as soon as possible and continue until February 15, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency.
Salary
Competitive salary
Posted
15 Jan 2026
University Assistant Postdoctoral, Business, Economics and Statistics
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful impact? We are currently seeking a/an University Assistant postdoctoral 37 Faculty of Business, Economics and Statistics Startdate: 01.02.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 5171 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: As a university assistant Postdoc (40 hours), you will support the Institute for Statistics and Operations Research in the areas of research, teaching, and administration. For more information on the institute's research areas, please visit https://isor.univie.ac.at/research/. Ideally, your research interests should match or overlap with those of an existing working group at the institute. Your future tasks: You will publish your research results in internationally renowned journals and at relevant conferences and workshops. In teaching, you will offer courses in the bachelor's and master's programs in statistics as well as service courses for other programs at the faculty. The language of instruction is primarily German, especially in the bachelor's programs. You need a completed doctoral/PhD degree for this position. The contract can start on February 1, 2026, and is negotiable. The term of employment is 4 years from the start of the contract. This is part of your personality: Completed doctoral/PhD degree in the relevant field Outstanding dissertation Research competence and initiative proven through international publications in peer-relevant media Experience in research management Didactic skills / experience in e-learning IT skills Excellent knowledge of English (C1) / Team player and high social/communicative skills What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (14 times a year) for a period of 4 years / 48 months increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent With your list of publications With your summary of research interests (max. 1 p.) Doctoral Degree Contact details of persons who could provide reference letters Via our job portal / Apply now - button If you have any questions, please contact: Hannes Leeb hannes.leeb@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 01/25/2026 Post Doc
Salary
The basic salary of EUR 5.014,30 (14 times a year)
Posted
16 Jan 2026
Post-Doctoral Associate in the Division of Social Science (Data Science)
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential. Selected candidates will spend half their time on collaborative research with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD, and half their time on independent research. The selected candidate will receive an appointment for three years. The position provides salary higher than internationally competitive rates for Post-Doctoral / Research Engineering / Research Associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a research statement highlighting past and current research experience, transcript and at least two reference letters, all in PDF format. If you have any questions, please email: Bedoor AlShebli bedoor@nyu.edu. About NYU Abu Dhabi: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply
Salary
Competitive
Posted
16 Jan 2026