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PhD position in explainable deep learning methods for human-human and human-robot interaction, Dept. IT and Centre for Interdisciplinary Mathematics, Uppsala University
Interested candidates should contact Prof. Ginevra Castellano by email (email@example.com) by Friday 13th of March at the latest to discuss the research project.
Please, include the following documents in the email:
– A CV, including list of publications (if any) and the names of two reference person;
– Transcript of grades;
– A cover letter of maximum one page describing the scientific issues in the project that interest you and how your past experiences fit into the project
Project description can be found here.
The ideal PhD candidate is a student with an MSc in Computer Science, Machine Learning, Artificial Intelligence, Robotics or related field
with a broad mathematical knowledge as well as technical and programming skills. The components to be studied build on a number of mathematical techniques and the methods development involved in the project will require good command of the related areas; central are mathematical optimization and probability theory. Experience and/or interest in the social sciences are also required.
See further eligibility requirements and details of the call here.
Research fellow in Computer Vision (geometry), Linköping University
We are looking for a research fellow (biträdande universitetslektor) in computer vision. The purpose of the employment as a research fellow is to give the teacher the opportunity to develop independence as a researcher and to obtain both the scientific and teaching qualifications required for employment as senior lecturer.
Postdoc in deep learning for improved Pathology diagnostics, Linköping University
We are looking for a postdoc to do deep learning research on pathology images to create diagnostic decision support innovations. This position is a key part a new research line in computational pathology at CMIV, a collaboration with the Linköping University Hospital pathology department and the computational pathology research group of Radboud University Medical Center in Nijmegen, The Netherlands. You will work in close collaboration with clinicians, having access to the state-of-the-art infrastructure of CMIV and extensive deep learning expertise of the Nijmegen group.