[TYPES/announce] Postdoc Position in Testing AI Ethics at King's College London

[M.R. Mousavi]

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Research Associate in Testing AI Ethics
at King's College London

Vacancy terms: Full time, fixed term contract for 18 months
Salary: £38,826 per annum, including London Weighting Allowance
Deadline : 15 September 2022

Application link:
https://urldefense.com/v3/__https://jobs.kcl.ac.uk/gb/en/job/049688/Research-Associate-in-Testing-AI-Ethics__;!!IBzWLUs!Wd037xsBfW7AStKnlyn6V4K1dYt3j8c9j1azBFKGMHsKFEqdL6ib8P0r1H9XvTdhrKbudbtLF28t6DVMEMgZtH0hY-pATf-DQBU$  

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Job description

Within the UKRI Trustworthy Autonomous System Node on Verifiability, we
have an exciting opening for a postdoctoral researcher on testing ethical
aspects of AI. These include testing aspects such as fairness and bias, as
well as privacy and explainability. You will be working within a vigorous
multi-disciplinary environment of the Trustworthy Autonomous System program
with researchers across many disciplines designing and verifying the
autonomous systems of the future. You will be using and advancing the state
of the art in testing (validation and verification) methods to provide
assurances of ethical decision making i n sub-symbolic AI components, such
as neural networks and statistical machine learning techniques.

This post will be offered on a fixed-term contract for 18 months

This is a full-time post - 100% full time equivalent

Key responsibilities

        Developing world-leading research results in collaboration with the
team, on testing ethical concerns on AI;
        Developing a comprehensive and rigorous set of requirements for
such ethical concerns;
        Developing public benchmarks and datasets for evaluating the
developed techniques and their future alternatives;
        Coordinating the related activities within the team and within the
larger project and program.

The above list of responsibilities may not be exhaustive, and the post
holder will be required to undertake such tasks and responsibilities as may
reasonably be expected within the scope and gradin g of the post.

Skills, knowledge, and experience

Essential criteria

    A doctoral degree in Computer Science, Software Engineering, or closely
related fields (also candidates with their dissertations submitted or under
submission will be considered).
    Solid track record of study and research in software engineering and
software testing (validation and verification)
    Proficiency in programming; familiarity with AI frameworks
    Possessing analytical skills; basic knowledge of statistical methods

Desirable criteria

    Affinity with ethical theories and their formalisation
    Affinity with formal verification and mathematical modelling techniques
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