PhD Student in Deep Learning (m/f/d)
Your tasks
In this position you will design, implement, train, and evaluate deep neural networks and contribute to the varied activities in research and teaching including:
- You will work on your doctoral thesis in the area of representation learning from population of neural networks.
- You will contribute to the current research activities at the AIML lab in the area of representation learning.
- You will publish in international, peer-reviewed conference proceedings and journals.
- You will support the teaching activities of the group, including Taing and the supervision of masters' and bachelors' theses.
Secondary tasks:
- You support the group in knowledge transfer with industry.
- Collaborate with other researchers in interdisciplinary projects.
- You assist the group in organizing workshops, seminars and conferences.
- You engage in outreach activities to promote research and increase the labs its visibility.
- You participate in grant writing and proposal development activities.
Your profile
- You have a university-level master's degree in computer science, statistics, or related studies.
- You have a strong background in Machine Learning and Deep Learning.
- You are confident in the design, implementation, and training of deep neural networks, particularly Transformer architectures.
- You have a strong background in the programming language Python.
- You are experienced with Python and PyTorch deep learning framework.
- You have experience with the NVIDIA GPU platform (DGX is a plus) for large-scale DNN training.
- You have first evidence of publications in peer-reviewed conferences in the respective area.
- You have excellent written and verbal communication skills in English.
Your international mindset paired with your ambition to excel in research and teaching are core qualifications that you bring to our team and projects.
Inspirational Work Environment
Executive Education
Network
Family & Career
Equal Opportunities
Fit and Healthy
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
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
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
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
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
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
Chair Artificial Intelligence
and Machine Learning
Tel.: +41 71 224 26 27
damian.borth@unisg.ch
I am looking forward to your application.
Office Prof. Dr. Damian Borth
Tel.: +41 71 224 26 27
angelika.graefingholt@unisg.ch
I would be pleased to get to know you soon.
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.
