The Artificial Intelligence and Machine Learning (AIML) lab headed by Prof. Dr. Damian Borth at the University of St.Gallen (HSG) is seeking candidates for PhD positions in Deep learning. The position aims to connect Remote Sensing to Weight Space Learning. Weight Space Learning is the groups new research direction, which was awarded a Google Research Scholar Award 2022 (Machine Learning and Data Mining). If you want to learn more about Weight Space Learning, you can visit the website of the recent ICLR workshop about this topic, co-organized by the AIML lab.

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 Weight Space Learning aiming for remote sens-ing and earth observation downstream tasks.
• 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.

• 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.