The Information Technologies Institute (ITI) of Centre for Research and Technology Hellas (CERTH),...
Centre for Research and Technology Hellas
Thessaloniki, Greece
πριν από 6 μέρες
source : Euraxess


starts : December 1st, 2020 or January 1st, 2021

Reference : NoBIAS ITN

PhD project :

The (ITI) / of (CERTH), Thessaloniki, Greece, invites applications for 1 fully funded PhD student position in the area of Artificial Intelligence.

The project context : NoBIAS

NoBIAS aims at developing novel methods for AI-based decision making without bias by taking into account ethical and legal considerations in the design of technical solutions.

The core objectives of NoBIAS are to understand legal, social and technical challenges of bias in AI-decision making, to counter them by developing fairness-aware algorithms, to automatically explain AI results, and to document the overall process for data provenance and transparency.

NoBIAS will train a cohort of 15 ESRs (Early-Stage Researchers) to address problems with bias through multi-disciplinary training and research in computer science, machine learning, artificial intelligence, law and social science.

Your tasks

The PhD project Bias mitigation in classification methods takes a machine learning approach to the task of discovering and quantifying bias and aims at developing ensembles of bias-aware classifiers which combine simpler but easier to control for bias models which altogether achieve state of the art performance that is comparable or even outperforms single complex models that are hard to control for bias.

The project will develop novel methodologies for bias quantification and discovery in supervised learning, and explore bias mitigation methodologies for achieving optimal trade-offs between accuracy and fairness.

Furthermore, the project will perform studies on applied usage scenarios in collaboration with industrial partners associated with the NoBIAS project.

How you will work

You will be part of a stimulating and dynamic environment of various European top-level universities and other institutions.

You will be based in the Centre for Research and Technology Hellas, Thessaloniki Greece in the Multimedia Knowledge and Social Media Analytics lab (MKLab) of the Information Technologies Institute.

The Multimedia Knowledge and Social Media Analytics lab follows an applied research approach to the exploration of new artificial intelligence and data mining methods and tools.

It investigates a wide variety of machine learning, data mining and multimodal data analysis problems in relation to real-world application needs and social contexts.

This includes among others domains such as media and journalism, culture, security and environment.

You will conduct research visits and secondments at several NoBIAS partner institutions across Europe. You will engage, throughout your PhD, at NoBIAS partner organizations across the EU, in disciplines including computer science, social sciences and law.

You will engage in the NoBIAS research activities and actively collaborate within the consortium. You will actively participate in the training programme offered by the NoBIAS ITN.

You will work independently as well as in local and international teams, with a focus on producing excellent research as well as in learning and acting in real-life contexts of AI creation and deployment.

Offer Requirements

  • Skills / Qualifications

    Your profile

    You have a Master’s degree in Computer Science, Artificial Intelligence, or a similar discipline. You have strong data science skills.

    Skills in computer vision, multimedia analysis, information retrieval and other related fields of AI are a plus. You care not only about AI, but also about the ethical dimension of computer science, and you are motivated to learning and taking a critical and interdisciplinary approach that values the social sciences while leveraging your computer scientist’s understanding and skills.

    Prior experience with topics with an ethical dimension is a plus (privacy / data protection, fairness / non-discrimination, dealing with bias and misinformation, etc.).

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