Fully-funded PhD position in machine learning / computational medicine at University of Basel

Candidates with a strong interest in computational medicine and machine learning are invited to apply for a PhD position at the Department of Mathematics and Computer Science at the University of Basel.
General Information.
The main focus of the newly formed Adaptive Systems and Medical Data Science group led by Prof. Julia Vogt is on developing novel machine learning methods, tailored to precision medicine and the analysis of big clinical data. The group performs research at the boundary of computer science, biomedical data analysis, and clinical research. The aim is to advance the computational and statistical tools that are necessary to solve open problems in data-driven medicine.
Prerequisites.
Ideal candidates have a solid technical education (Master's degree in computer science, machine learning, statistics, applied mathematics, physics or related fields) and excellent programming skills. They have a vivid interest in medical informatics and are interested to work in an interdisciplinary research environment. Applicants should be highly motivated and have good communication skills (English). The successful candidate is expected to join collaborative projects at the interface between computational medicine and machine learning.
Starting date: January 1st, 2018.
Successful candidates will be awarded a fellowship with a competitive salary.
Applications with a full CV, short statement of research interests and names of at least one referee should be submitted in electronic form to:
julia.vogt-AT-unibas.ch