Required background (study programme)

For a thesis in this lab, students should have background knowledge in one or more of the following disciplines (at least 2 courses):

  • Algorithmics and Complexity (e.g. Bachelor CSE1305 / CSE2310 / CSE2315, Master IN4301)
  • Machine Learning and Data Science (e.g. Bachelor CSE2510, Master CS4220 / CS4070)

In addition, we expect:

  • good programming skills;
  • knowledge of university-level mathematics: Calculus (e.g. CSE1200), Linear Algebra (e.g. CSE1205), Probability and Statistics (e.g. CSE1210).

This background is readily accessible through BSc + MSc programmes in Computer Science.
For Computer Science MSc students:

  • a good start for the research is to do a 7-8 week literature survey (IN4306, 10EC), which consists in writing a review on the state-of-the-art in the chosen research area; this also helps to shape the research questions to be addressed in the thesis;
  • following the MSc Bioinformatics specialization is strongly recommended for research topics delving deeper into the application domain, but not mandatory for research topics on more fundamental computational challenges with associated applications in bioinformatics.

Students following other programmes, such as Nanobiology or Life Science and Technology, are advised to follow the above courses as electives in their programmes, or to follow a minor in Computer Science. Exceptions can be made for students showing strong analytical and critical thinking skills.



Interested?

Make sure you have the required background (see above), browse the topics below to identify your preferences, send us an email. Please attach your individual study plan or transcript, including the list of all courses you have completed and still plan to take.



Research Partners