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. - Topical expertise working in the areas of AI, justice, technology, or on other forms of inequality is de-sired. - Fluency in English and one additional language is required. Applicants must have substantial
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-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR. • Know-how/Interest in designing user studies. • Excellent communication skills and a collaborative spirit to work with
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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). • Publication record appropriate to stage of career, with recent first author publications. • Experience conducting work overseas will be an advantage. • Interest in interdisciplinary approaches. • Good language
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strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Fluent familiarity with at least one coding language for ML or data analysis
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the working language is English, excellent written and spoken English language skills are required. The candidate will be a regular full-time employee at TUM, with pay scale 100% TV-L E 13. The expected
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of career, with recent first author publications. • Experience conducting work overseas will be an advantage. • Interest in interdisciplinary approaches. • Good language (written and spoken English) and
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scripting language is necessary for prototyping. Interest and affinity for high-performance computing are necessary for the position. You should have experience with the roofline model and familiarity with a
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its diverse culture, and is proud to host seven PhD students from 5 different countries and 19 Master students from 10 different countries. Our lab language is English. Website: https://niessnerlab.org