47 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology
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industrial partners. About us The Department of Industrial and Materials Science at Chalmers University of Technology, shares knowledge and their vision of technical solutions for the future industry in a
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. * Applicants who have not yet completed their Doctoral degree are welcome to apply, provided that the degree will be awarded no later than June 15, 2026. Has experience with computational methods, programming
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and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
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The research focus for this position should be linked to the learning materiual developed by the lab, but the precise area in focus may depend on the applicants skills. Supervise master’s and/or PhD students
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2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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intelligence, machine learning, data science, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine
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information - far beyond the limits of classical systems. Our research spans quantum computing, sensing, transduction, thermodynamics, and foundations, all aimed at harnessing the powerful behavior of light and
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of variation simulation and digital twins. About us The Department of Industrial and Materials Science shares knowledge and their vision of technical solutions for the future industry in a sustainable society
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Profile Recognised Researcher (R2) Country Sweden Application Deadline 15 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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provides professional education nationally and internationally, supporting lifelong learning. M2 strives for close collaboration between academia, industry, and society, focusing strongly on practical