Postdoc in Deep Learning at The Department of Public Health - University of Copenhagen https://jobportal.ku.dk/videnskabelige-stillinger/?show1027 We are looking for a highly motivated and dynamic postdoc for a 3-year position, who is a specialist in Deep Learning to commence 15 April 2024 or soon thereafter. We are seeking a highly motivated candidate with a track record of using, implementing, and developing deep learning approaches to questions in evolutionary biology and epidemiology. We are looking for a candidate who has experience in, but not restricted to: implementing recurrent, convolutional, generative, and self-supervised models. The ideal candidate in this post will have a balance of theoretical and applied experience with deep learning models. Our research The Section of Epidemiology actively contributes to advancing theoretical epidemiology, with a particular emphasis on causal inference, complexity, and life course epidemiology. Our research explores the dynamic interactions among genes, the environment, and health throughout the life course and across generations. As a Post Doc, you would become a member of The Computational and Mathematical Global Health Group, co led by Professor Samir Bhatt and Associate Professor David Duchene located at the Section of Epidemiology at University of Copenhagen. We are a world leading group that focuses on a diverse range of topics. We research at the interface between computer science, mathematics, biology, and epidemiology. The post doc position is in close collaboration with the machine learning and global health network mlgh.net. The position will be highly collaborative and crosscut/support multiple large projects in the group. Your job We are looking for a specialist in deep learning. The ideal candidate for this job would have had extensive experience implementing and developing deep learning models, and possibly experience in evolutionary biology. Your day-to-day tasks would be leading applications of deep learning models to a range of problems in the group including public health, biology, and economics. You will be in charge of implementing new architectures and developing models in tandem with other researchers in the group. The ideal candidate would already have extensive experience implementing models in common architectures such as Pytorch or Jax. Profile We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: Essential experience and skills: - You have a PhD in Deep learning or Machine learning - You are highly experienced in applying, developing and implementing a range of Deep Learning models - You have an active interest in machine learning and statistics - Proficient communication skills and ability to work in teams - Excellent English skills written and spoken Desirable experience and skills: - Experience/knowledge of Python - Experience/knowledge of Pytorch/Jax/Tensorflow - Experience/knowledge in statistics and learning theory - Publications or preprints in Deep Learning/Machine Learning Place of employment The place of employment is at the Section of Epidemiology, University of Copenhagen. We offer creative and stimulating working conditions in a dynamic and international research environment. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The starting date is 15 April 2024 or thereafter. Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) or other relevant organisation. Currently, the monthly salary starts at 36,400 DKK/approx. 4,800 EUR (October 2023 level). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 17.1 % to your pension fund. Foreign and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years. The position is covered by the Job Structure for Academic Staff at Universities 2020. Questions For further information please contact Professor Samir Bhatt bhattsamir@gmail.com samir.bhatt@sund.ku.dk or Associate Professor David Duchene david.duchene@sund.ku.dk Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility). Application procedure Your online application must be submitted in English by clicking 'Apply now' below. Furthermore, your application must include the following documents/attachments - all in PDF format: - Motivated letter of application (max. one page). - CV incl. education, work/research experience, language skills and other skills relevant for the position. - A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do. - List of publications. Deadline for applications: 11 February 2024, 23.59pm CET Interviews are expected to be held in the first week of March The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background. https://jobportal.ku.dk/videnskabelige-stillinger/?show1027 David A. Duchene Associate Professor Section of Epidemiology Department of Public Health Faculty of Health and Medical Sciences david.duchene@sund.ku.dk (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)