PhD Student Position: Machine Learning in Biology & Medicine

at Medical University of Vienna (MUW)
Published February 11, 2023
Location Vienna, Austria
Category Machine Learning  
Job Type Scholarship  

Description

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.

 

The Goal

Machine learning is transforming medicine, for example by enabling physicians to incorporate vast amounts of data and knowledge into each of their clinical decisions. Machine learning also advances our understanding of the biology that underlies human diseases, with the future perspectives of identifying the key molecular mechanisms in each individual patient and devising personalized therapies. Researchers at the Medical University of Vienna, in partnership with the CeMM Research Center for Molecular Medicine and the Austrian Academy of Sciences, are building an ambitious research program focusing on Machine Learning in Biology & Medicine, with three pillars: (i) methodological research in machine learning, for example focusing on interpretable deep learning, causal modeling, federated machine learning, or time series analysis; (ii) proof-of-concept applications in biomedical research, including personalized medicine and systems biology; (iii) dissemination and impact through sustainable clinical applications, contribution to international consortia, creation of startup companies, and a commitment to researchcentric teaching and public outreach. The successful candidate will contribute creatively and proactively to one or more of these directions

 

The Candidate

We are seeking individuals who are interested in pursuing cutting-edge research in the wider field of Machine Learning in [Bio]Medicine. 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. This fully funded fouryear PhD position offers ample opportunities to kickstart a scientific career, develop academic leadership skills, engage in international collaborations, and contribute to the advancement of biology/medicine through computational research. Additionally, through the ELLIS network and other consortia, there is the option to spend part of the PhD abroad in a collaborating machine learning lab with complementary expertise.

A full PDF version of this job posting is available from the following URLhttps://www.medical-epigenomics.org/files/PhD_Student_Machine_Learning_in_Medicine_Jan_2023.pdf.

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.

QUALIFICATION

PhD

JOB TYPE

PhD Studentship

DISCIPLINE

Biomedicine

HOURS

Part Time

DURATION

Fixed Term