Senior Machine Learning Researcher for Biomedical Time Series
3 weeks ago
Aarhus Universitet (AU) is seeking a Senior Machine Learning Researcher to join our Biomedical Engineering/Biomedical Engineering department in Aarhus N, Finlandsgade 22. This is a one-year postdoctoral position that offers a unique opportunity to contribute to cutting-edge research in machine learning and biomedical engineering.
Our team is focused on developing innovative solutions for biomedical data analysis, with a strong emphasis on time series classification problems. As a senior researcher, you will be part of an ongoing project on updating how sleep is monitored clinically, working closely with Associate Professor Kaare Mikkelsen and the Center for ear-EEG.
The main tasks in this position include familiarizing yourself with our existing work on the problem, prioritizing improvements to the existing method, implementing these improvements, characterizing the performance of the new version of the method, and preparing a manuscript for publication in a suitable journal.
We are looking for a candidate with a PhD degree in a technical field, experience with machine learning and Python, and a strong background in neural networks. Familiarity with PyTorch or transfer learning is advantageous, but not required. Good communication skills in English are essential, and the ability to work independently is crucial for success in this role.
In return for your expertise, we offer a competitive salary range of DKK 540,000 - 621,900 per year, depending on seniority, as well as a range of benefits including access to shared equipment, an interdisciplinary environment with national and international collaborators, and a research climate that encourages lively discussion across different fields.
If you are passionate about machine learning and biomedical engineering, and have a proven track record of innovation and collaboration, we encourage you to apply for this exciting opportunity.
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