Research Assistant Data Analysis

vor 1 Monat


Bern, Bern, Schweiz Kanton Bern Vollzeit
Department of Diabetes Endocrinology, Nutritional Medicine and Metabolism and the Diabetes Center Berne Start of employment: Employment is fixed term for 6 months. The Sensing and Monitoring Lab (samlab) is embedded into the interdisciplinary environment of the University of Bern, Inselspital Bern, and the Diabetes Center Berne. By combining expertise from the fields of engineering, medicine, and computer science, the samlab focuses on developing innovative sensing technologies that can enhance the management of diabetes.

Research Assistant Data Analysis

Tasks

The successful candidate will be involved in developing algorithms for our Moonwalk project. The candidate will:

Support the team in data analysis of radar sensor data for tracking animal health
Apply signal processing methods to time series data
Develop and evaluate predictive models (e.g., random forests, neural networks)
Implement methods for the explainability of the predictive models
Clean and visualize data
Install sensors in animal facilities
Requirements
We are looking for enthusiastic candidates with excellent technical skills to join our research group. The following qualifications are required:
Currently enrolled in Bachelor or Master studies at the University of Bern
Student in Computer Science, Math, Biomedical Engineering, or in a related field
Ability to be on-site in Bern
Strong expertise in the development of algorithms
Knowledge of Python including relevant data science, neural network, and deep learning libraries
Excellent problem-solving, critical thinking and communication skills
Ability to work independently and as part of a team
Excellent English language skills
We offer
We provide excellent scientific expertise in a young and dynamic environment, and we offer support for a global scientific career with a focus on translational research.
You will be hired at the University of Bern as a part-time (approx %) research assistant (Hilfsassistent:in).
Application and contact
For subject-specific questions and information about the position, please contact Prof. Lilian Witthauer,

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