Shandong University of Aeronautics
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Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering)
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare; Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA); Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor in the preparation of grant applications (as appropriate); And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Training & professional development* Attend trainings and workshops for career development; Mentor PhD students and undergraduate research assistants (as appropriate); Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee; Gain experience in applying for local research grants (subject to eligibility); And transition to independence to pursue a career of choosing following the appointment. * The researcher will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhab https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD
Salary
Competitive
Posted
11 Jun 2026
Programme Manager
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
About RoboPrecinct@PDD SmartPrecinct@PDD initiative aims to develop a precinct-scale robotics and embodied AI ecosystem at Punggol Digital District (PDD). The programme establishes shared digital infrastructure, regulatory frameworks (including cybersecurity and safety), embodied AI capabilities, industry collaborations, and real-world test-bedding environments to enable safe and scaled deployment of robots in PDD. The Programme Manager will lead the Programme Office and support the strategic planning, development, coordination, and governance of the SmartPrecinct@PDD programme. Key Responsibilities Programme management Reporting to the Lead PI of the SmartPrecinct@PDD programme, the Senior Programme Manager will oversee the overall execution and progress monitoring across multiple work packages in the programme. Coordinate multi-disciplinary activities to ensure alignment of technical development, infrastructure deployment, and regulatory initiatives. Support the principal investigators (PIs) to conduct technical integration between work packages where applicable. Track programme milestones, deliverables, budget, and reporting to the grantor and institution leadership. Supervise other Programme Office staff and coordinate administrative support functions. Stakeholder and governance management Lead engagement with government agencies and other stakeholders to develop governance frameworks for robot operations in PDD. Coordinate development of policies and agreements related to robot certification, data sharing, safety compliance, and cybersecurity standards. Support programme steering committees by preparing briefings, reports, and strategic updates. Ecosystem development Identify strategic collaborations with new industry and public sector partners to grow the SmartPrecinct@PDD ecosystem. Support programme expansion initiatives and new funding opportunities. Requirements Minimum Bachelor’s degree in engineering, robotics, computer science, AI, cybersecurity, or a related field. Ideally 10+ years of relevant experience in programme management, technology development, or public-sector innovation initiatives, with strong technical background in related fields. Experience managing large multi-stakeholder projects involving government agencies, industry partners, and research institutions. Strong strategic thinking and stakeholder engagement capabilities. Proven ability to manage complex programmes involving multiple technical teams and deliverables. Excellent communication and leadership skills. *Note: The incumbent will be appointed as REsearch Engineer/Research Fellow if successful.
Salary
Competitive
Posted
11 Jun 2026
Postdoctoral Fellow in Mechanical Engineering
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 536560 Work type: Full-time Department: Department of Mechanical Engineering (14500) Categories: Professoriate Staff, Research Staff Postdoctoral fellow in Mechanical Engineering (Ref: 536560) We now invite applications for the captioned post. Duties and Responsibilities Driving research activities towards defined goals in specified timeline Processing in experimental data analysis and management Drafting proposals, reports and presentations relevant to the projects Liaising with project collaborators and partners Performing various laboratory administrative duties Supporting various teaching & mentoring activities Handling other relevant tasks as assigned by the supervisor Requirements A PhD degree in Engineering, Physics, Chemistry, or related disciplines Preferably with research experience in liquid manipulation, smart materials, microfluidics With strong passion in conducting fundamental and applied research toward impactful applications Fluent in English in both writing and verbal communications for research and teaching; clear and concise writing skills Good time management with a strong sense of responsibility and research ethics Mature, self-motivated, confident and able to work under pressure What We Offer The appointment will commence as soon as possible on a 3-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until Aug 31, 2026, or until the post is filled, whichever is earlier.
Salary
Competitive salary
Posted
11 Jun 2026
Lecturer (Teaching & Administration), School of Mathematics and Statistics
University of Canterbury
New Zealand, Christchurch
University of Canterbury
New Zealand, Christchurch
Te Kaupeka Pūhanga | Faculty of Engineering Te Kura Pāngarau | School of Mathematics and Statistics Located in Ōtautahi - Christchurch, Aotearoa - New Zealand Full-time, 37.5 hours per week (1.0 FTE) Continuing (permanent) position Generous annual leave provisions and professional development opportunities Āu Mahi | What You Will Do We have an exciting opportunity for a Lecturer (Teaching & Administration) to support our programmes in the School of Mathematics and Statistics. The team has a wide range of responsibilities, including supporting students, teaching, tutoring, and developing resources. You will be involved in student support and teaching at undergraduate and postgraduate levels. In this role, you will: Deliver high-quality undergraduate and postgraduate teaching into our programmes, both at UC's Christchurch campus and at offshore locations with our partner organisations. Support learners across multiple modes of delivery, including on-campus, distance, and online. Engage with the School's Transnational Education (TNE) programme, with leadership and coordination responsibilities. Coordinate online and face-to-face engagement activities that support TNE students' connection with UC and readiness for transfer. Be a first point of contact, providing pastoral care and programme support to international students coming in via our TNE pathway from our partner universities. Special Role Requirements This position includes teaching responsibilities offshore, contributing to the joint education programme between the University of Canterbury and Qufu Normal University, Shandong Province, China. Mōu | Who You Are You have expertise in data science and a passion for teaching, research, and supporting student success. You will bring: An MSc or PhD in mathematics, statistics, data science, computer science, or a closely related discipline. Demonstrated experience in delivering effective teaching at tertiary level that allow a wide range of learners to succeed. Excellent oral and written communication skills, effective time management, and familiarity with digital technology. Enthusiasm for supporting students in a multicultural environment. Ability to provide academic, pastoral, and programme support to international tertiary students. A collegial approach and willingness to contribute to School and University service. Commitment to equity, diversity, and inclusion, and respect for Aotearoa New Zealand's bicultural heritage and Te Tiriti o Waitangi. Mahi Ngātahi | Who You Will Work With The School of Mathematics and Statistics sits at the heart of the University, teaching into programmes across campus and spanning a wide range of disciplines. We offer a variety of degrees in Mathematics, Statistics, Financial Engineering, and Data Science. We aspire to be a productive, dynamic, and inspiring community, committed to maintaining a collegial and supportive environment where staff at all career stages are encouraged to grow, collaborate, and do their best work. Ngā Painga o UC | Why UC Tangata Tū, Tangata Ora - Engaged, Empowered, Making a Difference. We believe in creating a welcoming and empowering workplace where everyone feels valued. Our values of manaakitanga (care and respect), whanaungatanga (connection and belonging), and tiakitanga (stewardship and sustainability) guide our actions and reflect our dedication to fostering compassion, collaboration, and excellence. We are deeply committed to accessible higher education and breaking down barriers related to distance, financial means, gender, or ethnicity. We empower our graduates and staff to make a real impact in their communities and beyond. What We Offer UC provides a flexible and family-friendly working environment with benefits that support wellbeing, career progression, and work-life balance, including: Parental leave benefits, including nine weeks of paid UC parental leave and 26 weeks of Government-paid parental leave. Relocation support for international and domestic candidates. Generous leave policies, including five weeks' annual leave and five additional University holidays. Flexible working arrangements. Opportunities for professional development and continuous learning. Onsite paid childcare facilities to help balance work and family life. Generous employer contributions to superannuation (up to 6.75%). A unique working environment on a beautiful campus, with access to facilities such as the recreation centre, Staff Club, and onsite cafés and eateries at discounted rates. For more information on our benefits, please visit https://www.canterbury.ac.nz/joinus/benefits/. This role sits within the Academic Staff, Associated Staff and Support Staff Collective Agreement, and the following salary scale applies: Lecturer (Teaching and Administration) $70,258 - $123,687. The closing date for this position is: Sunday, 28 June 2026 (midnight NZ time) Please note that applications will be reviewed after the closing date. Pēhea te tono mai | How You Apply Applications for this position must be submitted on our careers website and should include the following: A cover letter, including your reflections on relevant multicultural aspects of student support and ways you could contribute to international student exchange and engagement in our School (maximum one page), and a statement outlining your teaching philosophy, approach, and experience across different modes of delivery (maximum one page), combined into one document. A resume. Please note: there are only two upload fields, so please amalgamate the above requested documents into two documents (preferably PDFs). We do not accept applications by email. However, we are happy to answer any queries at WorkatUC@canterbury.ac.nz. For further information specifically about the role, please contact Clemency Montelle, Head of School, Mathematics and Statistics, at clemency.montelle@canterbury.ac.nz. For overseas applicants, please visit Immigration New Zealand to review the latest health and visa requirements for visiting and working in New Zealand.
Salary
$70,258 - $123,687
Posted
11 Jun 2026
Research Engineer (Membrane System) - EA5
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. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a demonstration scale low pressure membrane system in collaboration with Atera Water Pte Ltd. Key Responsibilities Applicants are invited for a Research Engineer in low pressure membrane system (LPMS). Reporting to the Project Principal Investigator (PI), you will assist in all administration matters including overseeing, planning, forecasting, budgeting as well as ensuring the smooth running of the daily operations for the project Assists in co-supervision of final year projects (FYP) or capstone projects students or student helpers under the Project PI. Assist in designing, planning and setting up of a demonstration scale LPMS plant at a site allocated by PUB. Assist in designing, planning and setting up of a lab-scale LPMS plant at a SIT Punggol campus Assist in carrying out of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate with experimental data Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects. Prepares and shares fortnightly report of results from the computations with the program director and PI. Support the procurement and maintenance of the software/hardware under the charge of the PI Any other adhoc duties assigned. Requirements The appointee should have a strong foundation in fluid dynamics and understanding of fluid (air and water) flow is important. Appointee should also have experience with design of experiments, carrying out experiments and results analysis. Prior experience working with membrane systems will be a plus. A recognised degree from a good University B.Eng or M.Eng in Mechanical Engineering, Aeronautical Engineering, chemical or environmental engineering Strong foundation in Fluid Dyanmics Able to work independently with strong data analytical skills, communication, and interpersonal skills. Proficient in handling large data sets and the ability to analysis and interpret results Experience with internet of things setup and controller design (PLC or embedded computing) Key Competencies Good self-discipline and motivated to deliver Show strong initiative and take ownership of work Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills
Salary
Competitive
Posted
11 Jun 2026
