24 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology
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or military service. What you will do Your major responsibility as postdoc is to perform your own research in a research group. The position may also include supervising master's and/or PhD students
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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The applicant should have a PhD degree in transport, operations research, applied mathematics, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills
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, you must hold a PhD (awarded no more than three years prior to the application deadline*) in computer science, maritime transportation, or a related field, with a strong foundation in mathematics and
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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facilities that are highly aligned with the goals of the project. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must have a PhD degree
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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military service. What you will do The majority of your working time is devoted to your own research, in collaboration with other postdocs and PhD students, as well as collaborating groups. As a Postdoc you
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-related activities at the department (20%), including supervision of MSc and PhD students Possibilities for international collaboration and research exchanges Access to pedagogical training and development