Hjem Blogg To ledige postdok-stillinger i Artificial Pancreas Trondheim

To ledige postdok-stillinger i Artificial Pancreas Trondheim

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The APT research group (Artificial Pancreas Trondheim), Dept. of Engineering Cybernetics and Dept. of Electronic Systems, NTNU, currently have two vacant postdoc positions within sound processing. Applications are to be submitted through JobbNorge and the deadline is 3 November 2019.

The long-term aim of the APT research group is to establish a robust artificial pancreas by combining continuous intraperitoneal (IP) glucose sensing, IP insulin delivery, and robust control algorithms. APT currently has two large research projects "Double Intraperitoneal Artificial Pancreas" and "Listening to the patients – Analysis of body sounds for diagnostics and monitoring" in the Centre for Digital Life Norway funded by the Research Council of Norway. The candidates will be part of an interdisciplinary research team with broad expertise in medicine (endocrinology, pharmacology, anesthesia and comparative medicine), biomedical cybernetics (modeling, identification and control), biosensor technology, and optical spectroscopy.

The positions are supervised by Professor Dag Roar Hjelme, Professor Øyvind Stavdahl, Associate Professor Anders Lyngvi Fougner and other APT faculty members.

The prospective startup for both positions is early 2020.

Job description:

These positions will develop sound processing methods related to health diagnostics and monitoring, with main focus on sounds from the digestive system and from the lungs. The primary target groups are patients with diabetes mellitus and patients with lung disease.

Main requirements:

Completion of a Norwegian doctoral degree (or an equivalent foreign doctoral degree) within physics, computer science, electrical or electronics engineering, control engineering, biomedical engineering, or similar fields.

Strong proficiency in oral and written English.

Strong skills in at least two of the following fields:

Digital signal processing.

Pattern recognition.

Machine learning.

Data driven (statistics based) modelling.

Mechanistic (physics based) modelling.

Other (desirable) qualifications:

Experience in:
- Sound processing or speech recognition.
- Acoustics.
- Management and analysis of big data.
- 3D ultrasound.
- Biomedical instrumentation.
Knowledge of biology in general and human physiology in particular.
Excellent communication skills, both oral and written.
Ability to start within Winter/Spring 2020.