Foundation for Scientific and Technological Development (FUNDECIT)

Ref.: 533837 Work type: Full-time Department: School of Public Health (22400) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Research Assistant Professor (RAP)/Post-doctoral Fellow (PDF) in Epidemiology or Biostatistics, School of Public Health (several posts) (Ref.: 533837), to commence as soon as possible, on a two- to three-year fixed-term basis for RAP, or on a one- to three-year temporary basis for PDF. Applicants should possess a doctoral degree by research (Ph.D., D.Sc., Dr.P.H. or equivalent) in epidemiology, biostatistics, public health or related disciplines. They should have a strong quantitative background; experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written and oral communication skills; and the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency in longitudinal analyses, multilevel modelling, data visualisation, and state-of-the-art statistical and epidemiological models would be an advantage. The appointees will be primarily responsible for applied and methodological work in epidemiological and/or statistical research, and will work with a large population-based cohort with over 46,000 participants in 20,000 households. They will conduct power/sample size estimation; generate tables and figures for reports and presentations; write scientific publications, grant proposals and reports; and assist in general administrative, operational and other duties as assigned. The focus of one of the posts will include The World Health Organization World Mental Health Survey Initiative and the Composite International Diagnostic Interview (CIDI), which is one of the largest cross-national mental health studies in the world. Those with relevant post-doctoral work experience and an excellent publication track record may be considered for appointment as RAP, and the appointee is expected to take up a leading role to oversee the cohort team.  Enquiries about the duties of the posts should be sent to familyco@hku.hk. Information about the School can be obtained at http://sph.hku.hk. Those who have responded to the previous advertisement (Ref.: 532195) need not re-apply. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. For RAP, the appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. The University only accepts online applications for the above posts. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until 9 June 2026, or until the posts are filled, whichever is earlier.

The BRIDGE-AI doctoral network is hiring 15 ambitious doctoral candidates at various locations in Europe (Finland, the Netherlands, Belgium, Germany, Switzerland and Austria). The aim of the network is to develop new and trustworthy AI methods for longitudinal neuroimage analysis, helping clinical experts assess temporal changes in patients with chronic brain disorders. Find more information about the project and each of the available position at each institute detailed at the BRIDGE-AI website. Please see also Frequently asked questions page as well as Recruitment privacy notice page. We offer: A unique and stimulating environment to work on cutting-edge AI method development for computational brain imaging, with ample opportunities for collaborating closely with expert clinicians and world-leading companies in the medical imaging domain. You will be co-supervised by a multidisciplinary team, receiving valuable input from industry, academia, and hospitals alike. A dedicated PhD training program with high-profile invited lecturers, combining both science-based and transferable skills training, with attention to your future career development. All BRIDGE-AI’s doctoral candidates will convene on regular intervals for training events organized in Helsinki (FI), Leuven (BE), Lausanne (CH), Bern (CH), Vienna (AT) and Eindhoven (NL). Access to large collections of clinical neuroimaging data and expert guidance (including through extensive international research visits) for evaluating the true clinical relevance and impact of the AI tools you will be developing. Full-time employment on the BRIDGE-AI project with competitive remuneration for three years. Depending on the host organization, subsequent funding needed to finalize your PhD thesis may be available. Your profile: A MSc degree in physics, computer science, electrical engineering or a similar degree. Candidates who expect to obtain their MSc degree in the near future are also welcome to apply. A strong interest in both new AI method development and the real-world clinical context in which AI methods need to operate. Able to work in an interdisciplinary team and interested in collaborating with clinical partners. A high level of perseverance. Strong programming skills in e.g., Python/NumPy, PyTorch or C++. Excellent communication skills in English (both oral and written). An eagerness to travel within Europe. Other prerequisites: Applicants can be of any nationality, but must not have resided or carried out their main activity (work, studies, etc.) in the country of employment for more than 12 months in the 36 months immediately before their date of recruitment. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account. At the date of the recruitment, applicants can not already be in possession of a doctoral degree. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree are also not eligible. Successful applicants will need to enroll in a doctoral program at the PhD awarding institution associated with each position. Therefore, eligibility requirements (e.g., relevant MSc degree, language proficiency, …) for the relevant institution need to be fulfilled. Please see the FAQ page for institution-specific requirements. To apply: Applications can only be submitted through Aalto University’s online job platform until 30 January 2026 at 23:59 Finnish time (GMT +2), or until all positions have been filled (whichever comes first). Screening and filling of the positions will start as soon as applications are received. Therefore, it is recommended to apply as early as possible. We strive to ensure diversity and gender equality in the BRIDGE-AI network through an open, transparent, and merit-based recruitment. Women and others underrepresented in the field of computational neuroimaging are particularly encouraged to apply. In order to apply, you should include: (1) a cover letter explaining your motivation for applying; (2) your CV; (3) relevant transcripts of studies and certificates of your degrees; and (4) the names and contact information of at least two professional references who may be contacted regarding your application. You should indicate which position(s) you are applying to (maximum 3) , and indicate the order of preference within the selected positions (1 = highest preference). Available positions on this page Open PhD positions - Bridge-AI. We reserve the right to leave positions open, to extend the application period, and to reopen the application process. For more information about the application and selection procedure, please see the FAQ page. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 4981 How can we perform table-top experiments to obtain new insights into the foundations of quantum physics? Can we measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear materials? Such questions are the driving force behind our research. You will be part of our team and develop new ideas, technologies and experiments. Your personal sphere of influence: As university assistant (PraeDoc) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.- Prof. Dr. Philip Walther. The group is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian Cluster of Excellence quantA. The group’s research combines the development of scalable photonic quantum technology for quantum computing and other quantum information applications with the investigation of fundamental quantum science questions. The main activities reach from quantum control of single photons using solid-state photon sources, integrated waveguide technology, tailored nonlinear media and detectors based on superconductor technology to interferometric precision measurements of weak gravitational forces. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on the premises, about 300 quantum researchers in Vienna. The Walther Group unites an international team of scientists who are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 young researchers, from undergraduate student, PhD candidate to Postdoc are working together on mostly experimental topics in small subgroups. Teamwork is a key factor to our group’s success. Together we assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum communication, quantum foundations as well as quantum-gravity interface. Your future tasks: Active participation in research, teaching & administration, which means: You are involved in a specific and well-funded research project dedicated to quantum machine learning for photonic platforms, bridging theoretical foundations with practical implementations.  You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time. We expect a large degree of independence paired with a high level of social awareness as the goal will only be achieved in a team. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fill some administrative tasks, contributing to the success and self-organization of the group for research, teaching and administration. You will continuously stay informed about the state of the art in your field. You will contribute to outreach by publications, conference presentations and public activities. This is part of your personality: You have completed your Master's degree or Diploma in physics; an additional diploma in computational science is of advantage. You have experience in academic writing. You should ideally come with experience in theoretical quantum machine learning, photonic platforms, quantum reservoirs, explainable AI on photonic quantum hardware. You should have experience with the usual tools for advanced experiments: programming experience: Matlab or Python. You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world. Internal further training & Coaching: The Vienna Doctoral School as well as the department of human resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.714,80  (full-time basis, 14x p.a.) increases if we can credit professional experience. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Your scientific curriculum vitae. A summary of your previous academic and research achievements. A short statement on your research interests for the future. Your Bachelor’s and Master‘s degree: an excellent academic degree is a good entrance statement for this position. A letter of motivation (no more than one page). If you have any content questions, please contact: Philip Walther philip.walther@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 12/18/2025 Prae Doc