[Stellenangebote] Research associate (100%, E13/14) - Fairness-aware Machine Learning, UniBw-M and RI CODE, Munich

[Ntoutsi, Eirini]

Research associate (E13/14, 100%) - Fairness-aware Machine Learning, UniBw-M and RI CODE, Munich

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As part of a new professorship, Prof. Dr. Eirini Ntoutsi<https://www.linkedin.com/in/ACoAAABi3GkBE9b22I0M4GlnFKvb4YJBCf6EiPQ> will establish a research lab for "Artificial Intelligence & Machine Learning" (AIML) at Forschungsinstitut Cyber Defence (CODE)<https://www.linkedin.com/company/forschungsinstitut-cyber-defence-code/> and UniBw-M in Munich starting from August 2022. In this context, CODE is looking for a research associate. The focus of the open position is on fairness-aware machine learning.


The topic:

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Algorithmic-based decision making powered via AI and (big) data has already penetrated into almost all spheres of human life. While technology allows previously unthinkable optimizations in the automation of expensive human decision making, the risks that the technology can pose are also high. One important concern is whether these algorithms can affect different population subgroups differently.
There exist already examples of algorithms which lead to biased outcomes and discrimination, reproducing and even amplifying inequalities already present in the society. The domain of fairness-aware machine learning focuses on methods and algorithms for understanding bias, mitigating bias and accounting for bias in AI/ML models. In this project, the focus will be on multi-discrimination, that is discrimination than can occur on the basis of more than one protected attributes.


Your tasks:

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- Research and development of Artificial Intelligence / Machine Learning methods

- Literature review

- Publication and presentation of scientific results in international conferences and related journals.

- Contribution to teaching activities of the group

- Contribution to research activities of the group


Your profile:

- MSc or Diploma in Computer Science or a closely related discipline

- Strong background in Machine Learning, Artificial Intelligence and Data Mining techniques.

- Strong programming skills (preferably Python)

- Very good knowledge of AI frameworks like TensorFlow, PyTorch, Keras

- Interest on AI responsibility aspects

- Excellent written and verbal communication skills in English (shown for example by published work or a master thesis)

- Knowledge of German is a plus, but is not obligatory.

- Critical thinking, quality-oriented and independent work, professional commitment.

- Willingness to learn, creative and cooperative.


Apply now:  https://www.unibw.de/code/karriere/stellenausschreibung-en_aiml_fairness-aware-learning.pdf



For further information, please contact me directly.



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Prof. Dr. Eirini Ntoutsi
Freie Universität Berlin
Department of Mathematics and Computer Science
Institute of Computer Science
AG Artificial Intelligence and Machine Learning

Arnimallee 7
14195 Berlin
eirini.ntoutsi at fu-berlin.de<mailto:eirini.ntoutsi at fu-berlin.de>
www: https://www.mi.fu-berlin.de/inf/groups/ag-KIML/index.html