Job offerings and other advertisements from partner institutions and industry.
Job offer at the Institute of Geography, Remote Sensing Research Group
- 50-70%, starting as soon as possible until November 2023
- Topic: Deriving the cloud base height with thermal camera images using machine learning techniques
- Requirements: very good programming skills, good knowledge in machine learning, interest in meteorology
- Please contact Stefan Wunderle (email@example.com) for more details.
The job holder will be involved in the Department of Health Science workgroup and will implement her/his own research interests as part of a doctorate. Participation in relevant projects (physical activity promotion, theory, ehealth, app-based interventions) is expected. Tasks include the planning and execution of projects. These include surveys and intervention studies, data management and analysis, write-up of the findings (project reports, journal articles) and their presentation (conferences).
Information please contact Prof. Dr. C. R. Nigg, Deputy Director Institute for Sport Science, University of Bern, E-Mail: firstname.lastname@example.org, Tel. 031 684 41 88
Please send your application with the usual documents (in a pdf-file) electronically until 30.04.2023 to: email@example.com.
Positions: We have an opening for 1 PhD position in the areas of machine learning and computer vision. One position is on motion estimation (such as optical flow and structure from motion) via deep learning. The other position is on unsupervised learning methods with multiple modalities (eg, text, images, audio). Research will be performed in the Computer Vision Group at the University of Bern. The positions are immediately available and will be filled as soon as a suitable candidate is found.
Your profile: We are looking for a highly motivated candidate, who is eager to get involved in cutting edge, creative research. You hold a Master of Science in Computer Science, Mathematics or Engineering, with a solid background in machine learning and computer vision. You have excellent skills in applied mathematics, in probability theory, and a programming language (e.g., Python, C/C++). You have a solid background in Deep Learning and you are already a proficient programmer in one of the main Deep Learning libraries (e.g., TensorFlow, PyTorch). We expect fluent communication skills in English.
What we offer: You will be part of a team of academic researchers working on state of the art technologies for machine learning and computer vision. You will have the chance to contribute to and participate in the international research community. We are located in Bern in the core of Switzerland, one of the cities with the highest quality of life worldwide. You will receive a very competitive salary and be given financial support to attend training courses and international conferences.
Application and further information:
Applications must be submitted to Prof Paolo Favaro, through the submission website link http://cvg.unibe.ch/vacancies/
Applications submitted directly via email will not be considered.
Applications are invited for two University Lectureships (equivalent to Assistant Professorships) in the broad areas of Machine Learning or Computer Vision at the University of Cambridge. The successful candidate will join the Information Engineering Division which includes the Computational and Biological Learning Laboratory and the Machine Intelligence Laboratory.
The candidate will lead a research programme in one or more of the following areas: Computer Vision, Machine Learning and Decision Making.
We encourage applicants who will strengthen our current research activities in probabilistic machine learning, reinforcement learning, supervised and unsupervised learning and computer vision.
These positions have been funded in part by a generous contribution from Toyota Motor Corporation. The successful applicants will have the opportunity and resources to work with Toyota on rich real-world data modelling, prediction, and decision-making problems. We will give priority to candidates who are well placed to do this.
Full advert: http://www.jobs.cam.
Deadline: 1 March 2020
The Personalised Medicine research group of the sitem Center for Translational Medicine and Biomedical Entrepreneurship at the University of Bern is offering a PhD position in the research and development of artificial intelligence (AI) algorithms for anatomy modelling and anatomical analysis. The PhD candidate will work within our multinational team and in close collaboration with our industrial, research and clinical partners, towards a cutting-edge software system for the diagnosis, surgical planning and outcome prediction of shoulder pathologies. They will build on deep learningbased algorithms to investigate clinically applicable segmentation solutions for the purpose of tissue composition and morphological analyses, patient specific biomechanical surgical outcome simulations and radiomics-based analysis of treatment outcome success. The student will work within a highly motivated team of experts at the sitem Center and interface with imaging physicists, surgeons and neurologists from the University Hospital of Bern, biomechanical engineers from ETH Zurich and industrial partners.
Please find a more detailed information in the attached pdf.
How to apply
Please send an application letter and CV addressed to Dr. Kate Gerber (firstname.lastname@example.org).
Applications may be considered until the position is filled. The University of Bern is an equal opportunity employer. Qualified female candidates are especially encouraged to apply.