Reitaku University

The BRIDGE-AI doctoral network is hiring ambitious doctoral candidates at various locations in Europe (Finland, the Netherlands, Belgium, Germany, Switzerland and Austria). We are currently inviting applications for the last 3 open PhD positions, located in Germany and Finland  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 June 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, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an  Predoctoral assistant Predoctoral assistant - Research Group Visualization and Data Analysis 39 Faculty of Computer Science Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5719 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: As a university assistant prae doc, you will complement the research team around Prof. Torsten Möller and take over tasks like researching, teaching, collaborating with your fellows. The focus of our research is Visualization and Data Analysis. Our Team VDA currently consists of 10 members: a post doc, prae docs and administrative colleagues. What makes us special as a team is a close collaborative working and researching situation; what is particularly important to us is a healthy feedback loop within our group. 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. Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in research projects and scientific studies. We expect you to finalize your dissertation agreement within 12-18 months. You work on your dissertation and its completion. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research, teaching and administration. The research should focus on Human-Computer-Interaction, Visualization, Usability Research and Data Science. This is part of your personality: Professional competence: Background in Computer Science; specifically Human-Computer Interaction, Data Visualisation, Data Science (Master’s level or equivalent professional experience) Masters degree in one of the following areas: Computational Science or a related field Methodological competence: First experience with qualitative research methods Didactic competence desired High ability to express yourself both orally and in writing Excellent command of written and spoken English IT user skills Ability to work in a team Desirable qualifications are Experience abroad Basic experience in research methods and academic writing Experience with data analysis Experience with scale development, item response theory or similar Good programming skills (Python / javascript / D3 / C++) Tableau Background in or experience creating data visualizations Experience with quantitative research methods (e.g. in data science or statistical knowledge) First experiences of interdisciplinary collaborations What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.  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 is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3776,10 (on a full-time basis, 14 times a year) increases if we can credit professional experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: With your scientific curriculum vitae Letter of Motivation, including ideas for a prospective doctoral project proposal Abstract of master thesis Master Degree / Diploma List of publications, evidence of teaching experience (if available) If you have any questions, please contact: Torsten Möller torsten.moeller@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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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: 06/11/2026 Prae Doc

Doctoral Researchers (30 positions) in various disciplines at the University of Helsinki, Finland The University of Helsinki Doctoral School (UHDS) invites applications for 30 salaried doctoral researcher positions in various disciplines. The positions are four‑year fixed‑term, full‑time employment contracts, starting between 1 January and 31 March 2027. The positions are part of an international, interdisciplinary RESDOC doctoral training project, co‑funded by the European Union’s Horizon Europe Marie Skłodowska‑Curie Actions (MSCA) COFUND scheme and the University of Helsinki. About the position Doctoral researchers will: Conduct full‑time doctoral research leading to the completion of a PhD degree Be enrolled in one of the 14 doctoral programmes of the University of Helsinki corresponding to their research field Work as part of an international and multidisciplinary RESDOC doctoral training project Receive academic supervision from leading researchers in their respective fields Research includes temporary secondments or research visits outside the University of Helsinki in RESDOC associated partner organizations when separately agreed. The employment contract will always be concluded with the University of Helsinki. What we offer RESDOC is an interdisciplinary doctoral training project structured around four themes under which candidates’ research topic must fit: (i) Infectious Diseases and Antimicrobial Resistance in Changing Environment, (ii) Biodiversity and Nature’s Resilience, (iii) Secure and Sustainable Food and Water Systems, and (iv) Just Socio‑Ecological Transition. It combines world‑class research with training in AI, systems thinking, and innovation, while building essential expertise in sustainable development, social responsibility, risk management, and policy frameworks. Through strong international and intersectoral collaboration, RESDOC equips doctoral researchers to create impactful, equitable solutions across academia, industry, and society. Employment in an international, multidisciplinary research community High‑quality research infrastructure and professional support services Support for relocation and integration into Finland and the University of Helsinki A competitive salary in accordance with MSCA COFUND principles Comprehensive occupational health care and staff benefits Salary and employment conditions Duration: 4 years (fixed‑term) 2027-2030, including a six‑month trial period Location: Doctoral researchers are expected to reside in Finland during their employment, which can start only after arriving to Finland. Salary: approximately €2,900 gross salary per month. Taxes are deducted automatically. Net salary depends on personal tax rate Tax rate calculator - Open MyTax. Salary is determined according to Horizon Europe MSCA COFUND principles. A family or special needs allowance may be paid where applicable. Eligibility criteria Applicants must fulfil all these mandatory eligibility criteria set by MSCA COFUND programme at the call deadline by 31 August 2026: Hold a Master’s degree or equivalent qualifying for doctoral studies Not hold a PhD degree Be an early‑stage researcher (less than 4 years of research experience) Comply with the MSCA mobility rule (not more than 12 months in Finland in the 36 months preceding the call deadline) Propose a research topic fitting the RESDOC themes and supervision Not be permanently employed by the University of Helsinki Fulfil English language requirements according to University of Helsinki’s requirements Be willing to reside in Finland for the full 4‑year duration Selection process Applications will be assessed based on: The eligibility criteria set by MSCA COFUND and University of Helsinki Doctoral School The quality, feasibility, and relevance of the research plan Academic performance and motivation demonstrated in previous studies or other relevant experience Suitability of the research topic for the RESDOC thematic areas and doctoral programmes of University of Helsinki Shortlisted candidates may be invited to interviews. Successful candidates must receive the study right to pursue a doctoral degree at the University of Helsinki no later than during the six-month trial period of employment. How to apply Application deadline 31 August 2026 23:59 EET Eastern European Time Applications must be submitted via the University of Helsinki online recruitment system only Due to restricted system access, applicants residing in Iran are kindly requested to contact resdoc-dp@helsinki.fi for instructions on submitting their application Academic alignment interviews online will be carried out in October for shortlisted candidates. Applicants will be notified of the results by the end of November 2026. About the University of Helsinki The University of Helsinki is Finland’s largest and oldest academic institution, ranked among the leading research universities in Europe. Approximately 500 doctoral degrees are awarded annually across all disciplines. The University hosts 14 doctoral programmes, covering a broad range of research fields. Doctoral researchers are integrated into high‑quality research environments and benefit from excellent infrastructure, supervision, and international networks. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Further information Guide for applicants Find out more about RESDOC doctoral training project, requirements, and information on life in Finland For questions, assistance, or requests for adjustments during the recruitment process, please contact resdoc-dp@helsinki.fi The RESDOC project has received funding from the European Union’s Horizon Europe Research and Innovation Programme under the Marie Skłodowska-Curie Grant Agreement No 101261796.