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Position: Post-Doctoral Researcher in Deep Learning
Institution: Universität St. Gallen
Location: St. Gallen, Switzerland
Duties: We are seeking two candidates for positions in Deep Learning. Both positions are part of a research project funded in the area of Deep Learning with particular focus on generative approaches. In addition to the outlined research direction, the candidate will also assist in managing the project, directing the research of undergraduate and graduate students, supervising research across the team, and coordinating project deliverables for the sponsor
Requirements: The ideal candidate will have a PhD in computer science or closely related field, with demonstrated background in statistical analysis, signal processing, machine learning and deep learning. In this position, you will focus on developing novel deep neural networks (DNN) architectures and learning algorithms to generate synthetic data of multiple modalities and style transfer to multiple visual and auditory styles
   
Text: «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 8500 students and is one of the largest employers in the region, providing around 3100 employees with an attractive and innovative environment for research. The newly founded Artificial Intelligence and Machine Learning [AI:ML] group headed by Prof. Dr. Damian Borth at the University of St. Gallen (HSG) is seeking two candidates for PhD positions in Deep Learning. Both PhD positions are part of a research project funded in the area of Deep Learning with particular focus on generative approaches. Post-Doctoral Researcher in Deep Learning The ideal candidate will have a PhD in computer science or closely related field, with demonstrated background in statistical analysis, signal processing, machine learning and deep learning. In this position, you will focus on developing novel deep neural networks (DNN) architectures and learning algorithms to generate synthetic data of multiple modalities and style transfer to multiple visual and auditory styles. In addition to the outlined research direction, the candidate will also assist in managing the project, directing the research of undergraduate and graduate students, supervising research across the team, and coordinating project deliverables for the sponsor. We are looking for you, if you have completed PhD in Computer Science or equivalent degree by the time of appointment. confidence in leading a group of PhD researchers to design and evaluate novel deep neural networks (DNN) architectures experience with NVIDIA GPU platform (DGX-2 is a plus) for large-scale DNN training. experience with deep learning frameworks such as PyTorch and/or TensorFlow. a rising track record in peer-reviewed research in the respective topic area experience in supervising students and teaching university-level courses is a plus 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. You can expect to collaborate within a newly founded group of highly motivated individuals in a high velocity research environment at one of the most beautiful places in Switzerland surrounded by the Lake Constance and the Swiss mountains. The University of St.Gallen (HSG) commits itself to increasing the number of international and female scholars among its faculty. Therefore, we especially welcome applications from international scholars and women. Candidates should submit their application, including a cover letter, curriculum vitae, references, publications list, teaching experience, and three publications that best represent their current research profile, in electronic form with the button below. Applications will be considered until the position is filled. Apply online University of St.Gallen | Institute of Computer Science | Müllerfriedbergstrasse 6/8 | 9000 St.Gallen | www.unisg.ch |
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