PhD Position in Computer Science

Friedrich-Alexander-University Erlangen-Nürnberg



The Tasks Include:

Background: Chemical modifiers are a major factor in physiological processes and are potent modulators of behavior. The possible implication of chemosensory information in human social interaction, however, has long been neglected. Only recently, it has been published in the body of the Odors. There is also evidence that there is no such thing as the individual's emotional or health status. The emerging field of human chemocommunication thus offers the intriguing possibility to make use of body odor signatures as an unobtrusive measure of internal states. The goal of this PhD is to develop a new communication platform that is about to be established in a collaborative emerging field project at the Friedrich Alexander University (FAU). The successful applicant wants to work with chemistry and medical experts in a joint research project. The successful candidate is expected to be an avid team worker. FAU is one of the largest universities in Germany. With its five faculties, FAU offers a range of subjects from the Humanities to Law and Economics as well as Sciences, Medicine and Engineering. The FAU mission statement "Knowledge in Motion" reflects the close collaboration between the single disciplines. The Machine Learning and Data Analytics Lab at the FAU Develops machine learning algorithms and ubiquitous computing systems. The aim of the MaD Lab is to contribute ML and AI research that is applicable to real-world interaction settings. Detailed information on ongoing projects is available on our website, via our publications and upon request.

Necessary Qualification:

Candidates for this position should have a Master of Science degree in Computer Science or a related discipline (Medical Engineering, Software Engineering, ...). Self-dependently in interdisciplinary environments. The candidate should also be familiar with blended expertise in machine learning and data analytics with a keen interest in chemistry and medicine as an application area.


The project start date is February 1, 2019. Funding is available for 36 months, an extension is possible.Prospective applicants should apply for CV and CV. Applications will be accepted until the position is filled.

Job Description:

  • Time limit: 36 months
  • This is a full time position.
  • Miscellaneous:
  • Expected hiring date: 01.02.2019.

For Information, please contact:

Prof. Dr. Eskofier, Björn
Department of Computer Science (INF) 
Department of Computer Science 14 (Machine Learning and Data Analytics) 

Applications must be sent to:

Prof. Dr. Eskofier, Björn
Department of Computer Science (INF) 
Chair of Computer Science 14 (Machine Learning and Data Analytics) 
Carl-Thiersch-Straße 2b, 
91052 Erlangen

In your application, please refer to