Our group is interdisciplinary and we encourage applications from individuals from a variety of educational backgrounds. As we analyze, integrate and manage large-scale biomedical data, mathematics and computer science related expertise, such as machine learning, optimization theory, numerical analysis, multi-variate statistic and software engineering, is desirable. Some knowledge on biomedicine, genetics or other biology related fields would be an asset but not required.
Please contact Sampsa Hautaniemi for more information.
While a typical graduate student has done an MSc thesis in our group, highly motivated and skilled students are welcomed to contact Sampsa Hautaniemi about opportunities to join the lab.
Undergraduates interested in conducting research and/or making a BSc or MSc should submit the following materials electronically to Sampsa Hautaniemi for consideration:
- A copy of academic transcripts (courses/grades), unofficial is ok.
- A brief statement on research interests within the lab.
We require that a student joining the lab has the overall grade point average of at least 3.0 (scale 1-5) and that grades for courses considered as major are at least 4.0.