The Machine Learning and Human Language Technology group
is looking for Bachelor/Master students (HiWi/WiHi) for research projects in
natural language understanding and generation.
We are interested in mathematical models and algorithms intended to comprehend human's written and spoken natural language. This includes, but is not limited to:
- Large Language Models
- Retrieval and Retrieval Augmented Generation
- Named Entity Recognition and Linking
Your tasks:
- Implementation and testing of new techniques in natural language understanding
- Literature Review
- Data preparation, implementation of pipelines and running experiments
- Quality analysis of results
Your benefits:
- Getting involved in state-of-the-art research in large language models and natural language processing
- Cutting-edge computing environment
Minimum qualifications:
- Strong programming skills in Python and familiarity with libraries like numpy, matplotlib etc.
- Strong theoretical background in statistics, algorithms and linear algebra
- Successful participation in at least one of the lectures/seminars/lab courses at the Machine Learning and Human Language Technology group (e.g. Statistical Classification and Machine Learning or Statistical Methods in Natural Language Processing) or comparable knowledge and skills (e.g. participation in comparable lectures at other universities)
- Understanding of current state-of-the-art approaches for natural language processing (transformers, attention mechanism, pretraining approaches, subword tokenisation, instruction fine-tuning)
- Familiarity with unix shells and git
Preferred qualifications:
- Experience with designing and training machine learning models
- Experience with using SGE, SLURM or other job scheduling engines
To apply, please write an e-mail to:
David Thulke
surname [-at-] hltpr.rwth-aachen.de
with the followings included:
- Short CV ("Lebenslauf")
- Transcription of your grades ("Notenspiegel") in RWTH Aachen
(if it's your first semester at RWTH, then the grades in your previous university)
- Your current status: degree program, semester
- Description of any experience (courses, projects, industry work, etc.) related to our field (machine learning, natural language processing)
We accept applications on a rolling basis throughout each semester.
|