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Research Assistant / Doctoral Candidate in Next-Generation AI Deep Learning Architectures (m/f/d)

100 % (unlimited, by 01.10.2024 or by mutual agreement)

Your tasks

  • Participating in research within the field of Advanced Architectures such as Transformers, Recurrent Models, and Large Language Models (LLM).
  • Conducting research and implementing innovative modifications using TensorFlow, PyTorch, and Keras.
  • Rethinking and rebuilding the core mechanisms of models to enhance performance and efficiency.
  • Integrating state-of-the-art techniques such as attention mechanisms, sequence modeling, and neural network optimization.

Your profile

  • Possess a Master's degree in Computer Science, Data Science, or a related field, demonstrating a solid foundation in technical knowledge
  • Proficient in Python programming, showcasing strong coding skills including the development and substantial modifications of module classes in TensorFlow and Keras
  • Ability to understand complex problems and solving them efficiently
  • Familiarity with state-of-the-art techniques in deep learning
  • Knowledge of Large Language Model (LLM) architectures, such as Generative Pre-trained Transformer models, is a plus
  • Willingness to learn and work with advanced machine learning development stacks
  • Exhibits a work ethic that is diligent, responsible, structured, goal-oriented, and independent
  • Good communication abilities and interpersonal skills
  • Proficiency in English
  • Proficiency in German is a plus
Our research at the Chair of Data Science and Natural Language Processing at the Institute of Computer Science (ICS-HSG) focuses on the areas of large language models (LLM) and quantitative data science, with a specific emphasis on developing next-generation AI deep learning architectures. Our team conducts cutting-edge research to enhance the performance and efficiency of these models, integrating state-of-the-art techniques such as attention mechanisms and sequence modeling. Using tools like TensorFlow, PyTorch, and Keras, we tackle complex problems in AI, aiming to push the boundaries of what's possible in machine learning and data analysis.
We are looking forward to your online-application stating the job ID
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Inspirational Work Environment

Inspirational Work Environment

Executive Education

Executive Education

Network

Network

Family & Career

Family & Career

Equal Opportunities

Equal Opportunities

Fit and Healthy

Fit and Healthy

Inspirational Work Environment

Inspirational Work Environment

At the HSG, as Europe's leading business university, we operate in an entrepreneurial environment where you will meet highly qualified, ambitious experts - both regionally and internationally. For example, you benefit from a modern IT infrastructure and, in our library via HSGswisscovery, from nationwide access to the wealth of scientific information available.

Executive Education

Executive Education

We support internal and external executive education opportunities. Our internal executive education programme offers you a practical, dedicated and didactically mature transfer of knowledge in the form of seminars, e-learning, coaching and collegial advice. We support task-specific external training and executive education financially as well as with regard to the time required.

Network

Network

We promote our culture of cross-functional collaboration and create space for forging valuable relationships - also with external partners. Regular exchanges and internal events help to strengthen these relationships and make them long-lasting.

Family & Career

Family & Career

We provide our employees with flexible work time models with a variable number of hours per week. As a family-friendly employer, we offer part-time positions, 16 weeks of maternity leave and a subsidised crèche, as well as support with childcare during the vacations.

Equal Opportunities

Equal Opportunities

The University enables equal opportunities for all employees and students. This applies to degree courses and work, as well as academic careers, university management positions and the reconciliation of studies, work and private commitments. We are committed to this with various measures in the areas of teaching, research, administration and the Presidency.

Fit and Healthy

Fit and Healthy

We help you stay fit and healthy. In addition to our diverse range of sports activities at the university, most of which are free of charge, and campaign weeks for corporate health management, we also offer you fruit in the workplace. In our canteen you will find a wide selection of freshly prepared meals - from vegetarian to fish dishes - at discounted prices.

Further information on working at the HSG can be found here.

For job-related questions

Prof. Siegfried Handschuh
Professor for Data Science

"This newly created position offers you a unique opportunity to help shape and explore the future of AI architectures at the cutting edge."


Dr. Tomas Hrycej
Research Assistant

"This is an exciting opportunity, and we encourage you to apply. If you have any questions, please do not hesitate to reach out to us."

Your place of work

University of St.Gallen

«A place where knowledge is created» - As one of Europe's leading universities of economics and business administration, the University of St.Gallen (HSG), Switzerland, is committed to the education of over 9800 students. The HSG is one of the largest employers in the region and provides an attractive and innovative environment for more than 3300 researchers, educators and professional staff.