Applicants should be highly motivated and creative, show an exceptional track record, and hold a Ph.D. degree in Computer Science, Bioinformatics, Mathematics, Statistics, or related fields, and be interested in working in an interdisciplinary environment at the interface of Machine Learning and Biomedicine, in particular, in algorithm development for structured data in biology and medicine. The position offers the opportunity to gain leadership and supervision experience in joint projects with younger scientists. The position is initially for one year and renewal is possible

Full time Allschwil, BL, Switzerland
The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, education and services at local, national and international levels. 900 people from 80 nations work at Swiss TPH focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions. The department of Epidemiology and Public Health (EPH) is the largest department of Swiss TPH. EPH hosts a biorepository and actively generates numerous population health, environmental and biomarker datasets. It collaborates actively in national and international epidemiology, public health and personalized health networks. The EPH broad research activities cover infectious and non-communicable diseases in humans and animals based on data from routine monitoring, implementation research, observational...