Post Doc in Machine Learning
University of Tubingen

Postdoc Position (m/f/d) TV L E13, 100%)

Cluster of Excellence: "Machine Learning - New Perspectives for Science"

Application deadline : 18.12.2020

It is widely acknowledged that questions of scientific methodology depend on ethical ones. If an experiment is unethical, it ought not to be performed. If an algorithm is unfair, it ought not to be implemented. From this perspective, ethics responds to methodological advances by rushing to install new guard-rails. But ethical questions also depend on methodological ones. Whether an experiment is ethical depends on whether similarly reliable inferences could be made from non-experimental data. Whether an algorithm is fair depends on how well it manages delicate tradeoffs between competing explications of fairness. The answers to these questions typically turn on methodological ones and -- more often than not -- these are both technical and hotly contested. From this perspective, methodological advances ought to lead to ethical ones. The goal of the "Ethics and Epistemology" research group is to work these problems from both sides: to approach methodological issues with an eye to their social consequences and to approach ethical issues with an eye to methodological resolutions.

Accordingly, Dr. Konstantin Genin, leader of the "Ethics and Epistemology" research group in the Cluster of Excellence: "Machine Learning - New Perspectives for Science" at the University of Tübingen, advertises

1 Postdoc Position (m/f/d; TV L E13, 100% - 36 Months)

to be filled ideally in early 2021. The position is funded for 3 years. Compensation is at minimum €4002/month bruto (€2379 netto) and increases according with experience. Funding for equipment, travel and other expenses is also available. Researchers interested in the intersection of ethical and methodological questions in statistics, machine learning, artificial intelligence and the medical and social sciences are encouraged to apply.

Relevant topics include but are not limited to:

  • causal discovery from observational and experimental data
  • algorithmic fairness
  • statistics and the social sciences
  • learning theory
  • values in science

Applicants must already hold an PhD degree in philosophy, statistics, machine learning or an allied social science field. Applicants should be proficient in English and interested in formal approaches to philosophical issues. Candidates without a doctoral degree should see our parallel call for PhD students.

Please send the usual documents (cover letter, short (1 page) research proposal, academic CV) as a single PDF to the Central Office of the Cluster of Excellence (ml-in-sciencespam by the deadline of December 18th. Recommendation letters, if available, can be mailed separately to the same address. The group aims to decide on candidates by mid-January. Questions can be directed to konstantin.geninspam

The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. The "Ethics and Epistemology" group also welcomes applications from other groups underrepresented in philosophy and machine learning. Qualified international researchers are expressly invited to apply. Disabled persons with equal aptitude will be given preferential consideration.

If you apply for this position please say you saw it on Computeroxy


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