PhD and Postdoc Positions in Machine Learning for Biologically Relevant Tasks at Chalmers University of Technology Chalmers University of Technology in Sweden

Chalmers University of Technology’s Data Science and AI Division is recruiting two PhD students in machine learning and is also advertising two open postdoc positions in Gothenburg, Sweden. The project is hosted in the CGR Lab / Computational Genomics Research Lab and focuses on developing new deep learning and language-model-style architectures for biologically relevant tasks, including methods and predictive models for DNA sequences and human health applications.

The research areas highlighted in the post include convolutional neural networks, transformers, and state-space models, with an emphasis on training models on biological sequence data. The lab notes that no background in biology is required, since domain knowledge will be learned along the way. The environment is described as international, collaborative, and English-speaking, with access to strong compute resources, mentoring, and training support.

Ideal applicants have a degree in a quantitative field such as computer science, mathematics, or engineering. The post also asks for programming proficiency, coursework in linear algebra, data structures, and algorithms, and prior experience with deep learning models such as CNNs, GNNs, or transformers. For the postdoc roles, the post mentions competitive salary and benefits.

To apply, send a CV and a letter of interest by email to the supervisor. Applications are reviewed immediately, so early contact is encouraged. This is a strong fit for candidates interested in machine learning, bioinformatics, computational genomics, and AI for biology and health.