Two Post-Doctoral Positions in Algorithms and Machine Learning – Aalto University

Department of Information and Computer Science at Aalto University , Espoo, Finland has two open postdoctoral positions in algorithms and machine learning.

Successful candidates will join Algorithmic Data Analysis Centre of Excellence in research teams lead by Professor Juho Rousu (Machine learning, kernel methods), Petteri Kaski (Algorithm theory) and Chief Research Scientist Jaakko Hollmen (Parsimonious modeling) to conduct high-quality research according to their research plan. The appointments are for two years.
The starting times for the positions are negotiable.

We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with an excellent publication record. We expect solid research experience in one or more of the following fields:

– Algorithm theory
– Supervised machine learning
– Kernel methods
– Large-scale optimization
– Parsimonious modeling

Excellent technical and communications skills are required. Good command of English is a necessary prerequisite. In addition to research work, a postdoctoral researcher is expected to participate in the supervision of students and teaching related to their research topic.

The salary level for a starting postdoctoral researcher at the Aalto ICS Department is typically, depending on experience and qualifications, between 3200 and 3600 EUR per month according to the salary system applied in Aalto University. The contract includes occupational health services and Finland has a comprehensive social security system.

Application procedure

The applications should be sent by email to and they should contain the following documents in PDF:
– Expression of interest that includes contact information of the applicant, and names and contact information of two senior academics available for reference per e-mail
– A complete curriculum vitae describing education and employment history
– List of publications, with pointers to openly available online versions of at most three of the most relevant publications

Please cite the call identifier “Algodan” in all the application documents. Candidates are required to hold a PhD degree before the start of the contract in order to qualify. At the beginning of the employment relationship the positions are located at the Aalto University Otaniemi campus in Espoo. Candidates may be invited for an interview on the Otaniemi campus of Aalto University in Espoo.

For further information, please contact:
– Juho Rousu, Petteri Kaski and Jaakko Hollmén, group specific information)
– HR Coordinator, Mr Stefan Ehrstedt, (application process related questions)

Deadline for applications is October 31, 2012. Application materials will not be returned.

Espoo, October 2012.

About the Department of Information and Computer Science

The Department of Information and Computer Science at Aalto University in Espoo/Helsinki, Finland, pursues research on advanced computational methods for modelling, analysing, and solving complex tasks in technology and science. The research aims at the development of fundamental computer science methods for the analysis of large and high-dimensional data sets, and for the modelling and design of complex software, networking and other computational systems.

In the recent Research Assessment Exercise covering all the 46 units of Aalto University, the Department of Information and Computer Science was one of two units achieving an almost perfect score of 24 out of 25, from review panels assessing the units on a scale of 1 to 5 in the five subareas of scientific quality, scientific impact, societal impact, research environment, and future potential. The Department has a web site at

About Aalto University

Aalto University is a new university created in 2010 from the merger of the Helsinki University of Technology TKK, the Helsinki School of Economics, and the University of Art and Design Helsinki. The University’s cornerstones are its strengths in education and research, with 20,000 basic degree and graduate students, and a staff of 4,500 of whom 350 are professors. For further information, see