ZHAW Zurich University of Applied Sciences

Department: Admissions Office Vacancy ID: 040783 Closing Date: 19-Apr-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.  We are seeking applications for the position of Postgraduate Recruitment Officer, to cover a temporary vacancy in the Postgraduate Recruitment team, who have responsibility for supporting the recruitment of students from Ireland and Europe to pursue postgraduate study at Maynooth University. The team is a small, collaborative and agile unit, working across a broad range of activities including the delivery of postgraduate Open Days and recruitment events, the development and execution of marketing campaigns, and engagement with prospective students. The team uses data and insights to inform decision-making, including monitoring application trends and identifying opportunities for programme development and growth. The team also works closely with academic departments across the University to promote individual programmes and support recruitment priorities. Postgraduate recruitment is a key priority within the University’s Strategic Plan 2023–2028, and the role offers the opportunity to contribute to a high-impact area with strong visibility across the institution. Salary: Administrative Officer II: €46,918– €66,464 p.a. (9 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday 19th April 2026. 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

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.

Ref.: 534801 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for a joint Post-doctoral Researcher in the Faculty of Social Sciences (FOSS) at The University of Hong Kong (HKU) and Institute for Social Research (ISR) at University of Michigan (U of Michigan) (Ref: 534801), to commence as soon as possible, on a temporary term of one year, with the potential for a second year in ISR at U of Michigan. Background The Faculty of Social Sciences and Institute for Social Research are collaborating to foster cutting-edge areas in social sciences research. This joint post-doctoral researcher aims to support the next generation of leading social sciences researchers, by enabling them to develop a range of research skills in different contexts, working with mentors with different disciplinary and substantive expertise in the social sciences. The successful candidate will have the chance to work with leading researchers (mentors) in both FOSS and ISR to develop his/her research ideas and skills for a future career in academia or another research setting. He/She will work at HKU in the first year and is expected to spend the second year at U Michigan. He/She will be required to complete the necessary administration procedures (including recruitment, visa application) for taking up an appointment at U of Michigan, pursuant to relevant terms of employment. Duties and Responsibilities Produce high quality research on the research priorities and clusters of both FOSS (HKU) and ISR (Michigan) Support FOSS and ISR colleagues in research dissemination events Assist FOSS and ISR colleagues in the preparation of research reports Perform other research related duties for FoSS and ISR Requirements a Ph.D. degree in social sciences discipline from a recognized university, awarded within the past three calendar years, or expected to obtain a Ph.D. degree by the start of the fellowship (no later than December 1, 2026). Documentary proof of qualification may be required an outstanding record of research performance, with a research area that aligns with the focus of FOSS (HKU) and ISR (Michigan) good interpersonal, communication, organizational and problem-solving skills the ability to work under tight schedule to meet project deadlines the capability to work both independently and as part of a team experience with advanced social sciences research methods Applicants should indicate which mentors from FOSS (HKU) and ISR (Michigan) they could work with. There is no need to get their interest and support in mentoring before making application What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, medical benefits, etc. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload the following documents at the University’s Careers site (https://jobs.hku.hk). A thesis abstract (up to 1 A4 page); A brief cover letter addressing the job requirements (up to 2 A4 pages); A key research output (if available); A research proposal (up to 2 A4 pages); A brief Curriculum Vitae (up to 2 A4 pages); Letters of support from the mentors (one from each of FOSS and ISR); and Names and contact details of three references, including one from their Ph.D. supervisor/advisor. Review of applications will start as soon as possible and continue until April 30, 2026 or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency