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resubmit an application in the current round. Applications not complying with the eligibility criteria will be rejected on formal grounds. We offer Your job with impact: Become part of ETH Zurich, which not
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the following conditions: Scientific Area: Computer Science. Admission Requirements: Academic qualification: Master's degree in Computer Engineering, Computer Science, Electrical and Computer Engineering
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with the Ganna Lab (https://www.dsgelab.org/ ) at FIMM and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami
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qualification, EQF Level 7) in Computer Engineering, Electrical and Computer Engineering, or a closely related scientific field is required. The candidate must demonstrate, through their curriculum vitae and
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15 Jul 2026 Job Information Organisation/Company INESC TEC Research Field Computer science Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Application Deadline 29
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and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami) at the Department of Computer Science, aligning with
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traversal tasks. Support calibration, perception, locomotion, manipulation, and control pipeline integration. ii. Experimental Testbed Development Design and set up representative door interaction
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the Research Grant Holder Statute, approved by Law no. 40/2004 of August 18, in its current wording, as well as by the Regulations for Grants of INESC TEC and for https://files.dre.pt/2s/2019/12/241000000
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and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami) at the Department of Computer Science, aligning with
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://www.di.ubi.pt ), under the following conditions: Research Field: Machine Learning/Pattern Recognition Objectives: Foundational Models for Human-Machine Interaction Work plan: The work consists in develop a system