HICT: Doctoral Candidate in Machine learning in precision oncology

Updated: 3 months ago

The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) is a collaborative doctoral education network hosted jointly by Aalto University and the University of Helsinki, the two leading universities within this area in Finland. The network serves as a collaboration platform for doctoral education combining all the relevant subfields of computer science and information technology at Aalto University and the University of Helsinki. It involves at present 80 professors and almost 300 doctoral students, and the participating units graduate altogether more than 40 new doctors each year.

We offer the possibility to join world-class research groups in both universities with multiple interesting research projects to choose from. The list of all open Doctoral Candidate positions in this joint call can be found here: https://hict.fi/admissions/

HICT Doctoral Candidate in Machine learning in precision oncology

Supervisor(s): Sampsa Hautaniemi (University of Helsinki)

Cross-disciplinary research group of Prof. Sampsa Hautaniemi focuses on discovering causes for drug resistance in cancer patients and effective treatment options to overcome them. We have strong track-record in computational method development for data from patient samples (e.g., https://pubmed.ncbi.nlm.nih.gov/33720334/ ) and translating research results to clinical practice (e.g., https://ascopubs.org/doi/full/10.1200/PO.18.00343 ). We coordinate one of the largest ovarian cancer precision oncology projects in the world funded by EU Horizon 2020 (DECIDER; https://www.deciderproject.eu/ ). In DECIDER our focus is to discover effective treatment options for ovarian cancer patients who do not respond to chemotherapy anymore. More information and all our publications are available at our group website: https://www2.helsinki.fi/en/researchgroups/systems-biology-of-drug-resistance-in-cancer

We are looking for PhD students with BSc/MSc level education in data science, machine learning or mathematical modeling, and interest in applying computational methods to cancer research. Basic knowledge of cancer biology or genetics is a plus but not required. The possible PhD projects range from developing computationally effective methods for very large datasets to modeling tumor evolution and integration multi-omics cancer data.

The Hautaniemi group belongs to the Research Program in Systems Oncology (ONCOSYS; https://www.helsinki.fi/en/faculty-medicine/research/research-programs-unit/systems-oncology-oncosys ). ONCOSYS consists of internationally acclaimed basic, translational and clinical researchers who share the vision of using cutting-edge measurement technology, real-world data and AI in cancer research in order to discover effective diagnostic, prognostic and therapeutic approaches. If you enjoy doing science in an interdisciplinary and collaborative environment, consider applying to us.

Ready to apply?

If you want to join our community and start your journey towards Doctoral dissertation submit your application via our electronic recruitment system. The application form will close 6th February 2022 at 23:59 Finnish time (UTC +2).

If you are currently working at Aalto University, please submit your application via HR System Workday (Career – Find jobs – Apply).

Please be prepared to add the following attachments:

  • Cover letter
  • CV
  • Transcript of your Master’s studies

You will be asked to provide also the contact details of 2-3 academic referees.

What we offer?

HICT is a network of world-class professors and researchers with huge passion for their field of study. In HICT you will become part of enthusiastic and professional team of bold and innovative thinkers.

During your Doctoral studies you will be a full-time employee in either Aalto University or the University of Helsinki depending on the supervisor and the research area. You will be covered by occupational health care based on the employment contract.

More information:

General information about the joint HICT call and HICT: https://hict.fi/

General questions about HICT: Christina Sirviö, HICT team

General questions about recruitment process: Sanni Kirmanen, Aalto University HR


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