Fully funded PhD position in responsible machine learning @ Umeå University, Sweden

[Monowar Bhuyan]

Hi all,

Fully funded PhD position in responsible machine learning @ Umeå University, Sweden

Link for application and further details: https://umu.varbi.com/en/what:job/jobID:544187/ 

There is a great opportunity to work on responsible machine learning, funded by EU MSCA doctoral networks. Here is details.

Project description

Learning with multiple representation (LMR) refers to machine learning methods that leverage several representations of the data and models or several formalizations of the learning task simultaneously, orchestrate them in a coordinated fashion, and use them in a synergistic way to solve a single problem. Multiple representations can interact in different ways and exchange information at various levels (e.g., data, model, prediction) and stages of the learning process. For example, an LMR system may have a parallel architecture, meaning that learning is essentially carried out in parallel (independently of each other), and predictions are only fused in the very end. However, these methods lack integration of responsible AI in terms of traceability of socio-ethical requirements, constraints, bias, fairness, transparency, and interoperability in designing and deploying frameworks in real-time AI systems.

 

This project aims to investigate, develop and integrate responsible AI framework with learning from multiple representations by taking advantage of the complementarity, the redundancy, and specific characteristics of different representations. LMR seeks to improve performance as well as ensure responsible learning from multiple representations in comparison to methods operating on a single representation only. Typical examples of LMR include the combination of numerical and symbolic formalisms, the representation of data and models on different levels of abstraction, and the combination of different types of supervision of the learner. Hence, this project plans to design, develop and evaluate novel methods and metrics that evaluate the trade-offs between computational and ethical requirements, and further analyses the bias, inclusion, transparency, and interpretability of LMR algorithms when deploying in real-time AI systems.

The successful candidate will contribute to the Social and Ethical Artificial Intelligence group and Autonomous Distributed Systems group at the Department of Computing Science within, collaborating with researchers in, e.g., machine learning, mathematical statistics, optimization, responsible AI or social AI.

This position is a part of the European project LEMUR (Learning with Multiple Representations) funded by Horizon-MSCA-DN (MARIE Skłodowska-CURIE ACTIONS). The objective of MSCA Doctoral Networks is to implement doctoral programmes by partnerships of organisations from different sectors across Europe and beyond to train highly skilled doctoral candidates, stimulate their creativity, enhance their innovation capacities and boost their employability in the long-term. 

Link for application and further details: https://umu.varbi.com/en/what:job/jobID:544187/

Deadline for application: October 17, 2022

Opportunity to work with re-known responsible AI Professor Virginia Dignum and ML Assistant Professor Monowar Bhuyan, Department of Computing Science, Umeå University, Sweden. 

Kind regards,

Monowar 

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Monowar Bhuyan, Biträdande Universitetslektor, WASP

Department of Computing Science, Umeå University, Sweden

mon...@cs.umu.se, Office Phone: +46 90 786 67 05

https://people.cs.umu.se/~monowar/ 

Group: http://cloudresearch.org/