Junior Researcher for the project DEEPSLEEP

We are looking for candidates that meet the following requirements:

• a master's degree in statistics, data science or computer science (preferably with a specialization in artificial intelligence and/or machine learning),
• specialization in deep learning, machine learning, data mining or related areas,
• affinity with computational statistics or machine learning and excellent programming skills,
• have machine learning/data mining software development skills in Python (Familiarity with deep learning libraries is compulsory),
• software development skills in one/more of following languages: Java,C/C++, C#. Experience with developing GUI is a plus,
• ability to combine different research techniques and tools,
• an excellent command of English and good academic writing and presentation skills,
• familiarity with interpretation of biomedical signals (EEG, ECG, SpO2 etc) is a plus.

Arbeidsvoorwaarden

We offer a full-time (38 hours a week) contract for a period of 10-12 months. The gross monthly salary will start from € 2.588,- and will depend on your experience and qualifications. You will receive a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%.

The University of Twente offers excellent working conditions in a stimulating scientific environment, including professional and personal development programs.

Information and application

Your application should consist of the following parts:

• Cover letter explaining your motivation and qualifications for the position;
• Detailed Curriculum Vitae, including list of publications (if any);
• Description of software developed (or links to GitHub) if any.
• A copy or a link to your Master thesis. If you have not completed it yet, please explain your current situation.
• A transcript of your grades.

The selection process will start immediately and will continue until the position gets filled.

For more information about this vacancy you can contact dr. Ainara Garde, a.gardemartinez@utwente.nl. More information about the Biomedical Signals and Systems group is available www.utwente.nl/en/eemcs/bss/