Phd Position in Machine Learning for Healthcare

vor 1 Woche

Bern, Bern, Schweiz Universität Bern Vollzeit

The ARTORG Center for Biomedical Engineering Research is the University of Bern's transdisciplinary Center of Excellence for medical technology research.

Its mission is to tackle unmet clinical needs and envision future diagnosis, monitoring, and treatment challenges to create viable healthcare technology solutions with imagination, agility, and purpose.

Its projects run from discovery and basic research to clinical translation.

  • Machine learning with emphasis on deep learning and/or reinforcement learning algorithms.
  • Analysis of multimodal heterogenous data.
Requirements

  • MSc in computer science, engineering, or applied mathematics.
  • Experience and/or course work in machine learning (Essential).
  • Solid programming skills in Python, experience with deep learning frameworks preferred (e.g., PyTorch).
  • Excellent command of English.
  • Commitment to multidisciplinary research.
General Information

Application

Applications should include:
i) motivation letter, ii) detailed curriculum vitae, iii) abstract of the master thesis, iv) contact details of two referees.

The documents should be combined into ONE pdf file.
The start date is expected to be in September 2023. Applications will be reviewed until the position has been filled.

About the University of Bern

The University of Bern is located at the heart of Switzerland. Internationally connected and regionally anchored, it cultivates exchange with society and strengthens partnerships between science, medicine, business, and politics. The University of Bern is committed to a deliberate and ethical responsibility towards people, animate and inanimate nature.

As an important educator, promoting enterprise and industry in the region and beyond, it distinguishes itself through problem-oriented research into questions of pressing social relevance.

The University of Bern is an equal opportunity employer, promotes healthy work-life-balance and safe working environments, and strives to increase the number of women at all levels in its faculties.

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