PhD studentship: Machine learning / computational medicine
- Employer
- Global Academy Jobs
- Location
- Switzerland
- Closing date
- Dec 11, 2017
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- Sector
- Business and Finance, Science, Computer Science and IT, Computer Science, General Computing, Mathematics and Statistics
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
Job Details
Your tasks
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.
Your profile
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.
We offer
We offer an interesting position in an international, interdisciplinary research environment at the University of Basel. Salary and social benefits are provided according to Univeristyof Basel rules.
Company
Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.
"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."
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