We are recruiting an ambitious PhD student who wants to pursue a scientific career in machine learning, with a focus on precision medicine, high-throughput biology, synthetic biology, or cell therapy. The successful candidate will be based at the Institute of Artificial Intelligence at the Medical University of Vienna, with ample opportunities to integrate into the national and European research landscape, including the European Lab for Learning and Intelligent Systems (ELLIS). This call is open to students who have recently completed or are about to complete their undergraduate degree in any field of computational sciences, as well as to candidates with a background in biology/medicine and strong quantitative skills.
A full PDF version of this job posting is available from the following URL: www.medical-epigenomics.org/files/PhD_Student_Machine_Learning_in_Medicine_Jan_2023.pdf
Candidates should have a Bachelor and/or Master degree in machine learning, computer science, statistics, bioinformatics or in another quantitative field that combines both methodological and applied research (in any field). Candidates with a background in biology, medicine, or a related field are also eligible if they possess strong quantitative skills and a keen interest in machine learning research.
Please send your application to sec-ai@meduniwien.ac.at (ideally as a single PDF document). The application materials should include a cover letter, CV, academic transcripts, and contact details of 2-3 references (if possible). The deadline is 31 March 2023. Start dates are flexible.