Tokyo University of the Arts

Description The Kamei Reverse Bioengineering Laboratory within the Divisions of Science and Engineering at NYU Abu Dhabi invites applications for a Post-Doctoral Associate position that advances the frontiers of developmental biology and disease modeling. The laboratory integrates stem-cell biology, fluorescence imaging, bioinformatics, and advanced nano- and micro-engineering to decode organogenesis and early embryogenesis, translating these insights into regenerative medicine, drug discovery, and precision therapeutics. The appointed fellow will design and fabricate nano- and micro-engineered platforms that interface with human stem cells, investigate cellular and molecular mechanisms governing development and pathology, lead experiments from conception through publication in high-impact journals, mentor graduate and undergraduate researchers, and contribute to grant writing and interdisciplinary collaborations. Applicants must hold a Ph.D. in science, engineering, or a closely related field awarded before the start date, and is within the first five years post-receiving a PhD. Competitive candidates will demonstrate expertise in areas such as device design and fabrication, stem-cell culture and differentiation, high-resolution imaging, single-cell or bulk omics, or bioinformatics, together with a strong publication record, excellent communication skills, and a collaborative mindset. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, transcript, and three letters of reference, all in PDF format. If you have any questions, please email kk4801@nyu.edu (Ken-ichiro Kamei, laboratory PI). About NYU Abu Dhabi 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

Schemes of Service: Research Division: Health and Social Sciences Employment Type: Temporary Job Purpose As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff 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 industry innovation research where you will support all aspects of the project to investigate neuroplasticity and recovery of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS), National University Hospital (NUH), University of Glasgow (UOG), Queen Elizabeth University Hospital (QEUH), Glasgow Royal Infirmary (GRI) and Nanyang Technological University (NTU) in the areas of Neuroscience, Psychology, Movement Science and Rehabilitation. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Prepare data collection forms/interview questions/questionnaire and recruit and/or interview subjects. Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary. Perform computational modelling and analysis of the neuroimaging and behavioural data, with guidance from senior colleagues as required. Provide ready access to all experimental data for the faculty researcher and/or supervisor. Prepare materials for submission to granting agencies, foundations and Ethics Committee review. Prepare progress reports for the PI and funding agency. Prepare other articles, reports, and presentations. Coordinate and attend project meetings, monitor the project budget and work on other projects and initiatives, as required. Conduct literature reviews for publications and research briefings. Contribute to the dissemination of research findings (e.g., journal, conference, book). Support and collaborate with research assistants, graduate and undergraduate students, where applicable. Work in a team, contribute to the identification of possible funding sources and/or the planning and development of externally funded research proposals in an area relevant to the project. Perform other research-related tasks as required by the Principal Investigator. Job Requirements A good degree in relevant discipline (e.g. experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, electrical engineering, biomedical engineering, computer science, physics or related fields). A PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages such as SPSS, R for statistical analyses and visualisation will be an advantage. Some research and/or clinical experience/interest in the area of stroke rehabilitation or care will be an advantage. Key Competencies Good scientific writing skills with relevant publications will be an advantage. Strong ability to work within a multidisciplinary team. Experience of supporting research projects and bringing them to successful completion. Possesses sound judgment and superior decision-making and problem-solving skills. Good interpersonal, written and verbal communication skills. Able to build and maintain strong working relationships with people within and external to the university. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Organisation Chart The research staff will report to Assistant Professor Choo Pei Ling. Major Challenges Some parts of the work (e.g. data collection, analysis) may be held at external sites (e.g. NUS, NTU) which may require swab testing prior to entry. Candidate can expect to work at external sites and SIT Punggol campus as needed. Candidate can expect to be flexible with work hours (i.e. there may be occasions where evening or weekend work is needed).

Description The eBRAIN Lab (https://ebrain4everyone.com) in the Division of Engineering at New York University Abu Dhabi invites applications for a Post-Doctoral Associate position, to work in the area of research and development (R&D) of next-generation Edge-AI and Embodied-AI Systems with tiny-LLMs, tiny-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be on investigating novel methods with strong theoretical foundations as well as their full-system deployment in real-world applications from different fields (like autonomous systems, healthcare, and robotics) with cross-validation. Prof. Shafique’s lab has many-years of R&D experience in cross-layer design and optimization for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable assistive cognitive technologies that care for / serve humanity and the ecosystem in a safe and green way. The successful applicants will join and drive a number of fascinating projects on designing, implementing, optimizing, prototyping and testing innovative solutions (software, hardware, or both) for the next-generation embodied-AI, GenAI and Agentic-AI systems, targeting high performance & energy-efficiency, robustness, and trustworthiness. A key focus will be on IP generation, patenting, high-quality publications in top-tier ML/AI, Robotics, and Systems conferences, and efficient prototyping for real-world use-cases. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists, research engineers, graduate research students and undergraduate students, to investigate cutting-edge scientific methods and to develop full-system prototypes. The eBRAIN lab offers an excellent working environment with an international team of excellent researchers and engineers, high-tech equipment, and active R&D engagement, thereby providing many development possibilities. The candidates are expected to work in a highly collaborative environment with other lab members and industry collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic frameworks, tinyML, ML frameworks (like PyTorch and Tensorflow), and Prototyping ML systems is required. The candidate should demonstrate a solid experience in practical AI/ML system development. Additional knowledge on MLOps, robust/secure computing, Hallucinations and Alignment, privacy-preserving ML, and ML security is highly desirable. Applicants with strong industrial experience and/or with publications at top/A* ML venues (conferences and journals) are highly preferred. The candidates are also expected to have strong organization, problem-solving, analytical, communication and writing skills as well as high motivation to pursue world-class research and development for practical ML/AI systems. Application Procedure: The terms of employment for these positions include very competitive salary with additional attractive benefits, including generous housing allowance, medical insurance with access to world class facilities, annual home leave allowance, and (if applicable) dependent private school fees. Salaries are tax-free in the UAE (for US tax, the Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling, computing, publications, etc. and will have access to excellent world-class research facilities. The preferred starting date is September.2026, but earlier dates are also possible based on the excellence of the candidate and the processing steps. Applications will be accepted immediately and candidates will be considered until the position is filled. Review of applications will start simultaneously, and will continue until the position is filled. To be considered, all applicants must submit the following documents, all in PDF format. A cover letter Detailed curriculum vitae (CV) with R&D and programming skillset Full list of professional/industrial experience and scientific publications University degrees and transcripts (with grades), or a letter from supervisor/university officials regarding tentative completion date. 1-page executive summaries of PhD and MS Theses 1-page summary of professional experience, future growth plans 1-page of R&D accomplishments and interests 1-page letter of Motivation At least 2 letters of recommendation with contact information of the referees (can be provided later, if slightly more time is required) R&D statement with an envisioned workplan over 2 years (can be provided after shortlisting) Download links for the PDFs of PhD and MS Theses (if available). If you have any questions, please email Prof. Muhammad Shafique at muhammad.shafique@nyu.edu. About NYU Abu Dhabi 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