HIIT: Postdoctoral Fellow positions in Computer Science
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The Helsinki Institute for Information Technology (HIIT) is seeking Postdoctoral Fellows to join the Helsinki region information technology research community. The position is intended support early-career researchers on their road towards being independent researchers, in collaboration with one or more supervisors in HIIT Faculty. The position gives the fellows excellent opportunities for high-quality and high-impact research and for creating research networks supporting their careers.
We welcome applications across all areas in Computer Science, including
- Algorithms and theory
- Artificial intelligence
- Computational Science
- Human-Centric Computing
- Software Systems
Position details
- Positions are intended for researchers who have recently completed their doctoral degree or who will complete their doctoral degree before starting the position.
- Positions are hosted by Aalto University and University of Helsinki – the parent universities of HIIT.
- Positions are fully funded including salary and travel/publication costs, salaries follow the host universities’ pay scales.
- Positions are for up to three years with flexible starting dates, negotiated individually
- A successful applicant joins the research group of a HIIT Faculty member acting as a supervisor, matched based on mutual interest (see list of supervisors below)
Who we are
Helsinki Institute for Information Technology is a strategic partnership between Aalto University and the University of Helsinki – two internationally leading universities in computer science and information technology. Both are located in the Helsinki Metropolitan area, and the employing university will be determined by the supervising professor. Aalto University and the University of Helsinki are both committed to fostering an inclusive environment with people from diverse backgrounds, and researchers from underrepresented groups are particularly encouraged to apply.
HIIT has the aim to boost fundamental and applied information technology research that makes a difference in the real world. HIIT facilitates research, impact, and collaboration activities in the Helsinki IT research community and offers funded post-doctoral researcher positions for excellent young scientists.
Requirements
Key requirements for the positions:
- You hold (or expect to shortly receive) a PhD in computer science, statistics, mathematics or a related field.
- You have previous experience in information technology, preferably demonstrated by a publication record in a top-tier venues.
- The positions require the ability to work both independently and as part of a team
- Excellent command of written and spoken English is required.
Application deadline
The deadline for applications is October 4th, 2026 at 11:59 PM (23:59 UTC+03:00).
Review timeline
We ask that all candidates that will continue the recruitment process to provide a public talk. We will contact shortlisted candidates in late October to provide this public talk. Public talks will be conducted via Zoom early November. Accepted candidates will be notified by late November.
Ready to apply?
All applicants should include all of the following attachments to their application.
Required attachments:
(1) Cover letter (1-2 pages in length) which includes the intended research area and how you intend to contribute to the field. If you have a potential supervisor(s), you should clearly state your motivation for applying to work with said supervisor, how you could contribute to the research produced by the supervisor and research area, and other relevant information.
(2) Preliminary Research Plan (3-5 pages in length) which includes background information, research objectives and methods, possible hypothesised results, possible collaboration, and any other key information.
(3) CV including a List of publications (please do not attach full copies of publications)
(4) A transcript of doctoral studies and the degree certificate of the doctoral degree. If you have not completed your doctoral degree, we expect you to have completed the degree before starting the position. In lieu of the degree certificate, you should include a plan of completion that clearly explains your intended date of graduation.
(5) Contact details of possible referees from 2-3 senior academic people. We will contact your referees, if recommendation letters are required.
All materials should be submitted in English in a PDF format. Note: files should be 5MB max. You can upload up to five files to the eRecruitment (Workday) system, each 5MB.
Supervising professors include but are not limited to the following:
| Name | Research Interests | Research Group (if applicable) |
| Qi Chen | generative models, continual learning, learning theory | |
| Stéphane Deny | human visual perception, symmetries, machine learning | |
| Azade Farshad | World Models, Computer Vision, Medical Imaging | |
| Christian Guckelsberger | intrinsic motivation in people and AI, creativity in human-AI interaction, critical speculation on AI futures | Autotelic Interaction Research |
| Matti Järvisalo | automated reasoning, constraint optimization, computational social choice | Constraint Reasoning and Optimization |
| Juhi Kulshrestha | Computational social science; Web use and mental health & wellbeing; Impact of adolescents' web use | Computational Social Science |
| Juho Leinonen | computing education research, generative AI in education, educational technologies | |
| Jiaheng Lu | Big data and database, quantum computing, AI for food system | |
| Michael Mathioudakis | efficient ML pipelines, large-scale data processing | Algorithmic Data Science |
| Matti Nelimarkka | social and societal computing; computational social science, political ideologies, marxist LLM | Helsinki Social Computing |
| Pekka Orponen | DNA and RNA nanotechnology, Algorithmics of self-organisation, Computational complexity | Natural Computation |
| Kai Puolamäki | machine learning, uncertainty and explainability, natural sciences | Exploratory Data Analysis |
| Jussi Rintanen | automated reasoning, automated planning, intelligent software systems | |
| Laura Ruotsalainen | computer vision (including diffusion and flow-based models, neural radiance fields and Gaussian splatting); multi-objective hierarchical decision-making; representation learning of multidimensional systems | Spatiotemporal Data Analysis |
| Xiang Su | Distributed artificial intelligence, Edge computing, Mobile systems | |
| Sebastian Szyller | adversarial machine learning, trustworthy machine learning, security & privacy | Trustworthy & Adversarial Computing Lab |
| Nikolaj Tatti | data mining, graph mining, approximation algorithms | |
| Haoye Tian | Software engineering; AI for software engineering; software maintenance. | ORBIT Group |
| Jara Uitto | massively parallel computing, sublinear algorithms, communication complexity | Sublinear Algorithms Group |
| Robin Welsch | Human-ai-interaction, human-augmentation, Human-Computer-interaciton | Engineering Psychology Group |
| Deepika Yadav | Interaction Design, Women’s Health, Soft Wearables | Aalto Interaction Design and Research (AxD) |
Contact Information:
For questions regarding these positions, please contact the HIIT coordinator at coordinator@hiit.fi