Postdoctoral Researcher in Unsupervised Deep Learning
- Employer
- UNIVERSITY OF HELSINKI
- Location
- Helsinki, Finland
- Closing date
- 10 Nov 2020
View more
- Academic Discipline
- Computer Science, Engineering & Technology, Mathematics & Statistics, Physical Sciences
- Job Type
- Academic Posts, Postdocs
- Contract Type
- Fixed Term
- Hours
- Full Time
The University of Helsinki (https://www.helsinki.fi/en) is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world.
The Department of Computer Science (https://www.helsinki.fi/en/computer-science), which is part of the Faculty of Science, is a leading Computer Science research and teaching unit in Europe. The research themes of the Department cover machine learning and algorithms, computer networks and distributed systems, software systems and bioinformatics.
The Department of Computer Science, Faculty of Science, University of Helsinki invites applications for
Postdoctoral Researcher in Unsupervised Deep Learning
Position description
A fixed-term postdoctoral researcher position is available in the research group of Professor Aapo Hyvärinen at the Department of Computer Science, University of Helsinki.
The project is broadly defined as unsupervised deep learning, including frameworks such as nonlinear independent component analysis, energy-based modelling, and causal discovery, which are at the cutting edge of unsupervised deep learning. The project may also involve a strong component of analysing data from brain imaging experiments. The scope of the project is flexible and the specific interests of the candidate can be accommodated.
The position is full-time and the duration is flexible, two years being the default. The starting date is negotiable, preferably in the first half of 2021.
Qualifications
The candidate should have a PhD in computer science, statistics or a related field, by the start of the employment. The crucial selection criterion is an excellent publication record, especially in high-level forums. Previous experience with one or more of the following concepts is considered an advantage: Independent component analysis, energy-based modelling, disentanglement, causal discovery, or brain imaging data analysis. Good command of English is a necessary prerequisite. In the review process, particular emphasis is put on the quality of the candidate's previous research.
Salary and benefits
The salary will be in accordance with the University salary system (for teaching and research personnel, level 5). In addition, the appointee will be paid a salary component based on personal performance. The starting salary will be approximately 3400–3800 €/month.
The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The International Staff Services office (https://www.helsinki.fi/en/university/working-at-the-university) assists employees from abroad with their transition to work and life in Finland.
How to apply
Please submit as a single pdf file:
- A letter of motivation describing the applicant’s previous research experience and future research interests (max one page)
- CV
- List of publications
- Contact details of at least 2 senior academics available to provide references
- A transcript of the doctoral studies and degree certificate of the PhD degree (if available)
Please submit your application via the University of Helsinki Recruitment System by clicking the Apply for the position button below.
The deadline for applications is 10 November 2020. Review of applications will begin immediately and continue until the position is filled.
Additional information
For more information on the positions, please contact Professor Aapo Hyvärinen (aapo.hyvarinen@helsinki.fi).
Due date
10.11.2020 23:59 EET
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