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德国慕尼黑工业大学法律NLP/法律技术 博士(资助)与博士后职位
文章来源:知识人网整理       更新时间:2021年04月07日

德国慕尼黑工业大学法律NLP/法律技术 博士(资助)与博士后职位

Ph.D. (Funded) & Postdoc Positions In Legal NLP / Legal Tech

Technische Universität München

We are looking for academic staff in the nascent "Legal Tech" working group, starting as soon as possible. The focus of the positions will be on research projects in natural language processing on legal text with an emphasis on exploring the use of neural network models towards analytical objectives of interest to legal experts by implementing models and rigorously evaluating them (e.g., training sequence classifiers on specialized corpora and analyzing model predictions quantitatively and qualitatively over experimental iterations).

We are looking for academic staff in the nascent "Legal Tech" working group, starting as soon as possible.

Your qualifications

You have a strong academic background in Computer Science, Computational Linguistics, or related discipline.

Ph.D. Applicants: Excellent master's degree in relevant discipline

Postdoc applicants: Doctorate degree in relevant discipline and strong research record

You are interested in tackling language analysis problems in the legal domain. Please include your prior experience in interdisciplinary work as part of your statement of purpose. You are fluent in written and spoken English (e.g., at least B2 certificate level or excellent TOEFL scores), communicate effectively, and can productively work with complex texts. You are curious and can quickly familiarize yourself with a problem domain (e.g., a specialized area of law), and enjoy collaborating with technical and legal experts in highly interdisciplinary projects. You have experience with NLP, machine learning, and AI, and are a versatile and effective programmer (i.e. very good proficiency in Python, Pytorch/Tensorflow, Scikit-Learn/Numpy, Jupyter, git, ability to do rapid app prototyping in the Javascript ecosystem, etc.). You are curious and creative in coming up with solutions to data analysis and modeling challenges. You are self-motivated and focused in implementing them, and you have the endurance to complete complex projects.

The positions

We offer:

one full-time position as academic staff in pursuit of a doctoral degree in computer science (Ph.D. student). The initial employment contract will be for one year and, upon satisfactory eval-uation, can be extended through to the completion of the PhD (up to a maximum of four years)

one full-time Postdoctorate position as academic staff. The position's duration will be 18 months from the employment start date.

Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV-L, E13 level). TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference.

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