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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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morphology (future and conditional) in Spanish, Italian and French. On the empirical side, the project will deliver a theoretically informed cross-linguistic description based on data collected via
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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, environmental or natural resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis
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preference in the hiring process. The University of Tübingen is committed to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information
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• Very good communication skills and ability to express yourself in spoken and written German and English language • Proficient use of common programming languages, MS-office, data storages and image
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and ability to express yourself in spoken and written German and English language • Proficient use of common programming languages, MS-office, data storage, and image processing • Ability to support the
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are therefore particularly encouraged to apply. To apply, email a motivation letter, CV, and contact information for two references to Dominik Bucher (Dominik.Bucher@tum.de). More details on the previous