South College

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

Description The Shubeita laboratory in the program of Physics, New York University Abu Dhabi, seeks to recruit a post-doctoral research associate to work on unravelling principles that drive cellular organization. The successful applicant will lead research projects to study the interplay between active cytoskeletal transport, cytoskeletal organization, and the physical driving forces of macromolecular crowding. Research will take place within a multidisciplinary group of postdoctoral and predoctoral researchers trained in physics, biology, and chemistry with whom the successful candidate will collaborate closely. Applicants must have a PhD in physics or a related field. Excellent analytical skills are required. Prior experience in the experimental techniques used in the lab such as optical tweezers and quantitative imaging is advantageous but not required. 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. To be considered, all applicants must submit a cover letter, curriculum vitae, a one-page summary of research accomplishments and interests, a transcript, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email: shubeitalab.positions@gmail.com. About NYUAD: 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.

Schemes of Service: Research Division: Food, Chemical and Biotechnology Employment Type: Fixed Term Research Fellow / Engineer (Insect Protein Chemistry & Functional Beverage Development) As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports an awarded applied research project on cricket protein (CP)-based functional beverages, focusing on protein chemistry, emulsion engineering, scalable food processing, and consumer acceptance. The appointee will contribute to SIT's sustainable food innovation agenda, working within a multidisciplinary team with access to established research platforms and pilot-scale facilities. Key Responsibilities Characterise insect protein and their hydrolysates for compositional and techno-functional properties under different processing conditions (enzymatic hydrolysis, heating, drying, homogenization) Investigate the impact of food processing on protein-polysaccharide interactions under different food processing conditions. Profile phenolic compound and evaluate the bio-functional properties such as antioxidant activity Identify optimal processing conditions that minimise bioactive losses for functional beverage applications. Design and formulate insect protein-based oil-in-water emulsions for the encapsulation and delivery of bioactives. Develop and optimise functional beverage prototypes that are suitable for industry-scale beverage manufacturing and evaluate their emulsion stability and estimated shelf-life. Conduct in vitro bioaccessibility and bioavailability studies for encapsulated nutrients using existing SIT analytical facilities. Support the design and execution of consumer surveys assessing Singapore consumers' acceptance of foods and beverages. Perform principal component analysis (PCA) and multivariate statistics to identify relationships between demographic factors and product acceptance and integrate findings as feedback for beverage formulation. Prepare scientific manuscripts, technical reports, and progress updates for funding agencies, journals, and stakeholders. Present findings at project meetings, industry engagements, and academic conferences. Supervise and mentor junior researchers, research assistants, and students attached to the project. The candidate is to communicate with all relevant internal and external stakeholders as required to meet the project deliverables. Any other adhoc duties assigned by supervisor. Job Requirements PhD in Food Science, Food Technology, Food Chemistry, Chemistry, Nutrition, or a closely related discipline. Strong master's or bachelor's degree holders with substantial relevant research experience may be considered for the Engineer grade. Solid grounding in protein chemistry, protein hydrolysis, and structure–function relationships in food systems. Hands-on experience in emulsion formulation and stability characterisation, including droplet size analysis and shelf-life assessment. Familiarity with food processing technologies such as HTST, UHT pasteurisation, drying, heating, and high-pressure or multi-stage homogenisation in beverage or liquid food systems. Working knowledge of biochemical and antioxidant assay methods, HPLC, MS, and their application in food ingredient analysis. Experience with in vitro digestion models and bioaccessibility or bioavailability testing is a strong advantage. Ability to perform quantitative data analysis and multivariate statistics (e.g., PCA); proficiency in Origin, R, or equivalent software for statistical analysis. Strong scientific writing skills with the ability to produce publication-quality manuscripts and clear technical reports. Proactive, detail-oriented, and capable of managing multiple experimental and reporting workstreams simultaneously. Collaborative and able to work independently within a multidisciplinary applied research environment. Good communication and interpersonal skills for engagement with students, colleagues for procurement, risk assessment for lab activities, equipment purchasing and maintenance, industry partners, and funding stakeholders. Strong ownership for leading and delivering projects with project management skills