AlGhad College for Applied Medical Sciences

Ref.: 534897 Work type: Full-time Department: Department of Psychology (30200) Categories: Executive / Technical / Support, Teaching Staff Demonstrator/Teaching Assistant (several posts) in the Department of Psychology (Ref.:534897) (to commence on August 15, 2026 or as soon as possible, on a one-year temporary basis or two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Master’s degree or above in Psychology, Cognitive Science, Neuroscience, Statistics or a related discipline. Preference will be given to those with experience in teaching statistics and research methodology, cognitive science, neuroscience, biological psychology and perception. The appointee will assist in delivering courses at undergraduate and/or postgraduate level(s), supervising students’ research projects and providing general administrative support to the Department. He/she may need to work outside normal office hours, including evenings and weekends. Those with more experience in teaching, and student consultations/supervision may be considered for the post of Demonstrator. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. For a two-year fixed-term basis, the appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV, a covering letter and copies of academic transcripts. Review of applications will start as soon as possible and continue until June 15, 2026, or until the post is filled, whichever is the earlier.

Description Jaime Napier’s Lab at New York University Abu Dhabi (NYUAD) is seeking a Post-Doctoral Associate to conduct globally-conscious research on gender-related attitudes, gender stereotypes, and/or attitudes and beliefs about sexual orientation. Terms of employment include competitive salary and benefits. Research in our lab focuses on the social and psychological antecedents and consequences of inequality, broadly defined. The ideal candidate for the current position will have a strong background in research on gender and sexual orientation. Some potential projects include: (1) understanding backlash against gender equality and queer rights; (2) understanding the content and structure of gender stereotypes and their consequences; and (3) examining patterns of gender-related attitudes over time and cross-nationally. The position entails involvement in all stages of research, including (but not limited to) study design, data collection, data analysis, manuscript preparation. Candidates must hold a PhD in social psychology or a closely related field, with no more than five years post receipt of the PhD, be competent in research design and advanced statistical analyses, and have strong writing and communication skills. Preferences will be given to candidates who are passionate about gender-related issues and have their own research agenda toward that end. Applications will be accepted immediately. To be considered, all applicants must submit a cover letter, curriculum vitae, research statement, transcript or degree, and the names of at least 2 academic references, all in PDF format. Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Jaime Napier, email: jaime.napier@nyu.edu 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

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. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. 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.