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Legacy University Okija

Okija, Nigeria
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Post-Doctoral Associate in the Center for Behavioral Institutional Design

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Center for Behavioral Institutional Design, New York University Abu Dhabi, seeks to recruit several postdoctoral researchers interested in exploring the origins of human behavioral diversity, developing empirically-informed models of human behavior, and designing innovative institutions and policies for promoting social welfare. C-BID offers a vibrant and stimulating research environment, with opportunities to engage in high-impact projects and collaborations. Postdoctoral researchers join an active international community of scholars and fellow postdocs and benefit from a world-class seminar series. The Center also hosts numerous workshops, conferences, and other academic events that foster collaboration, idea exchange, and visibility, providing an exceptional platform for advancing researchers’ work and academic careers. The ideal candidate is highly ambitious, well-trained, self-motivated, hard-working, equally capable of working alone and as part of a team, and holds a PhD in economics or a related field. The position requires expertise in either experimental, empirical, or theoretical methods or, ideally, a combination of these methods. Excellent communication skills in English, the ability to work in multidisciplinary teams, and scientific creativity are essential. Successful applicants are expected to publish research in leading peer-reviewed journals in social science or leading interdisciplinary journals, and work both individually and in close collaboration with the C-BID team: Olivier Bochet, Nikos Nikiforakis, and John Wooders. The position provides a salary higher than internationally competitive rates for postdoctoral research 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. Appointments will be for two years, renewable for at least one additional year conditional on a satisfactory evaluation of performance. Applications will be accepted on a rolling basis and candidates will be considered until the positions are filled. To be considered, applicants must submit a cover letter, a curriculum vitae, a research statement highlighting past and current research experience, a transcript and at least two reference letters, all in PDF format. Note that this position is NOT located in the United States. You must be willing to relocate to Abu Dhabi, UAE. For any questions, please email: Nikos Nikiforakis (n.nikiforakis@gmail.com) or John Wooders (john.wooders@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. UAE Nationals are encouraged to apply.

Salary

Competitive

Posted

5 Mar 2026

Research Assistant

MAYNOOTH UNIVERSITY

Maynooth University

Ireland, Maynooth

institution

Maynooth University

Ireland, Maynooth


Department: Biology Vacancy ID: 040403 Closing Date: 18-Mar-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. Professor Lorna Lopez and Professor Andrew Coogan invite applications for the position of research assistant on the “Ambient-BD” research project (https://www.ambientbd.com/). This five-year project is led by the University of Edinburgh with co-investigators at Maynooth University, Ireland and the Technical University of Munich, Germany. It is funded by the Wellcome Trust as part of their recent investment in research addressing circadian aspects of mental health, “Mental Health Award: Integrating sleep and circadian science into our understanding and treatment of anxiety, depression and psychosis” (2023-2028). The purpose of Ambient-BD is to investigate the role of variability in long-term circadian rhythms in the trajectory of disease in people with bipolar disorder. The initial development and validation studies will be carried out in Maynooth University and the clinical studies in people with bipolar disorder will be completed at the University of Edinburgh. There will be considerable collaboration between the two research sites throughout the project. Salary: Research Assistant (2026): €33,792 – €37,725 p.a. (6 points - with increment) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Wednesday, the 18th of March 2026. Please note all applications must be made via our Online Recruitment Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

Salary

€33,792 – €37,725 p.a.

Posted

4 Mar 2026

Research Fellow / Engineer (Seaweed Hydrolysates) - DJ2

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

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 Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.• Undertake these responsibilities in the project: i. Lead and support high quality publications to disseminate the applied research outcomes. ii. Plan, organize and carry out experiments and trials in the food pilot plant to achieve the objectives iii. Manage and complete the project by presenting the findings in conferences or meetings with industrial collaborator, submitting timely data & documents, and purchase chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meetings slides and report in conferences. v. Engage and communicate with collaborators for progress meetings and report generation to meet the grantor's requirements. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Job requirements Have relevant competence in the areas of protein chemistry, analytical chemistry for amino acid profiling, polyphenol profile analysis, SDS-PAGE, and protein hydrolysis. Have a degree in Food Science and Technology, or Analytical Chemistry. Possessing a Master's or PhD degree will be advantageous Experience and Knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry for protein sequencing, carbohydrate/Sugar analysis, and polyphenol identification. Previous experience as lab-in-charge or equipment-in-charge will be advantageous. Able to communicate with industrial collaborators to share key findings, seek supports, or conducting commercial trials. Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Salary

Competitive

Posted

5 Mar 2026

Research Fellow in Observational Astrophysics

UNIVERSITY OF SOUTHAMPTON

University of Southampton

United Kingdom, Southampton

institution

University of Southampton

United Kingdom, Southampton


Are you interested in extragalactic astronomy and the study of galaxies and supermassive black holes? Would you like to work in a supportive, collaborative research group engaged in exploiting cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School of Physics and Astronomy at the University of Southampton invites applications for a Research Fellow in Observational Astrophysics to work with Professor Manda Banerji on an STFC funded research project on AGN and their host galaxies. You will exploit state-of-the-art data from the Vera C. Rubin Observatory Legacy Survey of Space Time (LSST), Euclid and 4MOST to constrain the properties of supermassive black holes and their host galaxies and understand co-evolution across a large dynamic range in mass, and over cosmic time. You will be expected to work with colleagues in Southampton as well as international collaborators to lead scientific projects on AGN identification, and measurement of supermassive black hole and host galaxy masses using imaging and spectroscopic data from ground and space. The Southampton Astronomy Group provides a stimulating and collegial environment with many opportunities to collaborate with other group members. Our main research themes are galaxy evolution, compact objects, and time-domain astrophysics. We are strongly committed to diversity in the student and academic population and you will be supported in developing your career while maintaining a healthy work-life balance. The post is for 3 years and the appointment will be full time on University of Southampton Level 4. In addition, the University offers an attractive benefits package and relocation assistance. The nominal starting date is 1st October 2026. Please apply through the university's job portal with a cover letter, CV, publication list, and a statement of research interests (2 pages max). In your application, please highlight how your experience and research interests are relevant or transferrable to studying AGN host galaxies and how you plan to exploit data from LSST, Euclid and 4MOST for such studies. Informal enquiries are welcome via email to Prof Manda Banerji, M.Banerji-Wright@soton.ac.uk. As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.

Salary

£39,906 to £44,746

Posted

5 Mar 2026

Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

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 support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

Salary

Competitive

Posted

5 Mar 2026

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