BEMÆRK: Ansøgningsfristen er overskredet
The Department of Mathematics and Computer Science, University of Southern Denmark (SDU) for the Computational Biology group chaired by Professor Richard Röttger invites applications for a PhD position for the creation of a federated metadata platform for sensitive clinical data, to be filled as soon as possible.
A large roadblock of medical research is the difficult access to sensitive data which therefore hinders the training of complex and powerful machine learning models. This issue is amplified when considering rare diseases with low incidence numbers per clinic. To enable the identification of suitable patients for clinical studies amenable to machine learning, a privacy-preserving metadata platform is required. Here, the actual patient data remains at the site of storage, for instance the hospital, but virtual cohorts can be identified according to clinical phenotypes, symptoms and diagnoses, and later used for federated machine learning approaches without breaching patient privacy.
The position itself is part of the large European endeavour Screen4Care, funded by the Innovative Medicines Initiative in a public/private partnership between numerous, high-profile research institutes and the European Federation of Pharmaceutical Industries and Associations. The overall vision of Screen4Care is to shorten the path to rare disease diagnosis; the envisioned metadata repository is one key aspect of fulfilling this vision. The selected candidate will gather research as well as industrial experience by the close collaboration of SDU and the EFPIA partners.
We also provide the candidate with direct access to state-of-the-art computing facilities optimized for deep learning and distributed computing.
We are seeking outstanding candidates with strong analytical and problem solving skills, who are strong in written and oral communication (in English), and have documented experience in the development of complex compute systems.
The applicant should be fluent in the state-of-the-art web-development frameworks, virtualization techniques as well as database technologies.
Expertise in clinical data science and machine learning as well as computer security and data privacy is welcome.
This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 101034427. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.
Deadline: 24 November 2023.
Please see the full call, including how to apply, on www.sdu.dk.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Odense Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Syddansk Universitet, Campusvej, 5230 Odense M
-Ansøgning:
Ansøgningsfrist: 24-11-2023; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5926740
