Research Scientist in Health Informatics
1 dag geleden
About the Position
The Department of Medical Informatics at Erasmus MC is seeking a highly motivated PhD student to contribute to cutting-edge research in health AI and data science. The successful candidate will join a dynamic and collaborative research environment focused on developing and validating prediction models using federated data networks.
Research Focus
The PhD student will be responsible for conducting methodological research within the field of machine learning in healthcare, including feature engineering methods, deep-learning, and other advanced machine-learning techniques. The research will be performed in clinical settings and will focus on using large-scale federated data networks made possible by the standardization of health data to the OMOP Common Data Model.
Requirements and Skills
- We invite candidates with a background in Natural Sciences, Informatics, Economics, Sociology, and Data Science to apply.
- A strong interest in data mining, deep-learning, machine learning, regression analysis, and programming is required.
- Candidates with a medical background who are interested in applying health data science in their clinical setting are encouraged to propose research topics.
- Highly motivated and willing to learn individuals with good written and verbal communication skills are desired for this international project.
Terms of Employment
- The PhD student will receive a temporary position for 4 years.
- The gross monthly salary is € 3,017,- in the 1st year and increases to € 3,824,- in the 4th year.
- Excellent fringe benefits, including a 13th month paid in November and individual travel expense package.
More Information
For more information, please contact Ross D. Williams, project lead, via e-mail or see the Erasmus MC website.
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