The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities for a minimum term of six months, located either at the Computer Science Department of the Technische Universität Darmstadt.
The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.
Requirements: We are looking for interns to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.
The position is ideally suited to those seeking to acquire research experience abroad, to qualify as a graduate student or a research associate at a leading university, or to prepare themselves for a competitive industry position.
The position is a fixed-term six-month internship contract with an option to extend it up to one year, provided certain conditions are met. We cannot accept applications for an internship period of less than six months. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.
Note: the university does not provide financial support for the interns that do not have a Master's degree by the time they start their internship. In such cases, interns are expected to have a scholarship which would support them during the internship.
The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “”, the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management. Knowledge Discovery in Scientific Literature
Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted via the following form: . https://careers.ukp.informatik.tu-darmstadt.de/ukprecruitment