Tommy Löfstedt

Much of the recent successes within the field of artificial intelligence (AI) in the last 10-15 years can be attributed to a subarea of AI called machine learning. I am a researcher in machine learning and computer vision, often with applications in medical image analysis. Much of my research is developing novel methods for automatic segmentation, and to develop novel regularisation methods for machine learning to, among other things, improve the possibilities to interpret the results.

I currently have two open positions:

I currently have a PhD position in machine learning open in my group. The project is about optimisation for federated machine learning. See the full ad and apply here:

• https://www.umu.se/en/work-with-us/open-positions/phd-student-in-computational-science-and-engineering-with-focus-on-optimization-for-federated-machine-learning_526451/

We are currently hiring a post-doctoral researcher to develop the next generation variational autoencoders for analysing gene isoforms in single-cell data. This is a collaboration with Johan Henriksson at MIMS (www.henlab.org). See the full ads and apply here:

• https://www.umu.se/en/work-with-us/open-positions/post-doctor-in-machine-learning-for-single-cell-data-analysis_507450/