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Postdoc, Research Fellow And Phd Student Positions In Machine Learning (Department Of Computer Science)

Published date 3 weeks ago
Posted: 3 weeks ago
Company Aalto University
Company: Aalto University
Location Espoo
Location: Espoo

Finnish Center for Artificial Intelligence FCAI and ELLIS Unit Helsinki invite applications for PhD student, postdoc and research fellow positions in machine learning. You will join one of the top AI research centers in the Nordics and in Europe, with an access to an excellent network of scientists and broad range of possibilities to work with companies.

Your research can be theoretical, applied, or both. The positions are in the following areas of research:

1) Reinforcement learning
2) Probabilistic methods
3) Simulation-based inference
4) Privacy-preserving machine learning
5) Collaborative AI and human modeling
6) Machine learning for science

You will join a community of machine learning researchers and will be part of a broader team of researchers studying similar topics, mentored by a group of several experienced professors.

Please see this website for the full details about the positions and job details. The text below contains only an excerpt of the full call text.

What we are looking for:

You have previous experience in machine learning, statistics, artificial intelligence or a related field, preferably demonstrated by success in related studies (PhD student applicants) and/or publication record in the leading machine learning venues (e.g. AAAI, AISTATS, ICLR, ICML, JMLR, NeurIPS) (postdoc/research fellow applicants). Other merits demonstrating suitability for a researcher position can also be considered.

You hold (or expect to shortly receive) a Master’s degree (PhD student applicants) or a PhD (postdoc applicants) in computer science, statistics, electrical engineering, mathematics or a related field.

Working environment:

The positions are based either at Aalto University or at the University of Helsinki, depending on the primary supervisor. All positions are fully funded, and the salaries are based on the Finnish universities’ pay scale. The contract includes occupational healthcare. 

Postdoc positions are typically made for up to three years. Following the standard practice, the PhD student position contract will be made initially for two years, then extended to another two years after a successful mid-term progress review. Experienced postdoc applicants can be considered for research fellow positions, typically having previously worked successfully as postdocs for several years.

We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field. 

Required attachments:

  • Cover letter (1–2 pages). Please specify the FCAI Teams and supervisors with whom you want to work.
  • CV
  • List of publications (please do not attach full copies of publications)
  • A transcript of doctoral/MSc&BSc studies and the degree certificate of your latest degree. If you are applying for a postdoc position and don’t yet have a PhD degree or for a PhD student position and don’t have a Master's degree, a plan of completion must be submitted.
  • Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.

All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Ready to apply?

Please submit your application by October 1 (23:55 Finnish time) through the Workday recruitment system.

Note: If you are already an employee or a visitor in Aalto University, please apply for the position via Aalto’s internal Workday system (Career) using your existing Workday user account. 

Further information:

Please see the call website for more information about the positions, working environment, job details, and FAQ. If you have questions that are not answered on the website, please contact marlene.saracino at on questions about the recruitment system (Workday) or kaisa.pekkala at on any other questions.

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