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Marie Sklodowska-Curie Fellow ITN - Artificial Intelligence

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University of Southampton

Department: Web & Internet Science
Location: Highfield Campus
Salary: 36,718 to 48,937 per annum, subject to bi-annual review due to exchange rates
Full Time Fixed Term (3 years)
Interview Date: To be confirmed

2 Open Positions for Early-Stage Researchers Pursuing PhDs in the Area of Artificial Intelligence without Bias.

The School of Computer Science at the University of Southampton is inviting applications for two Early Stage Researchers to work in the area of Artificial Intelligence decision making without bias.

You will work within the interdisciplinary community of a large EU-funded Marie Sklodowska-Curie European Training Network and will pursue a PhD in Computer Science at the University of Southampton as part of your 3-year engagement with the project.

The specific research topics include methods, tools and frameworks to discover bias in inaccessible (black box) algorithms or to explain the cause of bias in artificial intelligence systems.

To be successful you will have a BSc or an MSc or equivalent professional qualification and experience in computer science, data science or related discipline and will be willing to collaborate with researchers and industrial partners in these areas who may work in a different discipline.

This collaboration involves extended research stays at partner sites.

At the time of recruitment (i.e. first date of employment), you must not have resided or carried out your main activity (work, studies, etc.) in the UK for more than 12 months in the 3 years immediately prior to recruitment under this project and you must be eligible for home/EU (non-overseas) fees at the University of Southampton.

Compulsory national service and/or short stays such as holidays are not taken into account.

At the time of recruitment you must not yet have been awarded your doctorate and must be in the first 4 years (full-time equivalent) of your research career.

In order to be considered for this post, please also complete the postgraduate application process via: https://www.ecs.soton.ac.uk/phd/how-to-apply#researchprogramme.

Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science.

We particularly encourage women, Black, Asian and minority ethnic (BAME), LGBT and disabled applicants to apply for this position.

We are commited to improving equality for women in science and have been successful in achieving an Athena SWAN bronze award in April 2020.

We give full consideration to applicants that wish to work flexibly including part-time and due consideration will be given to applicants who have taken a career break.

The University has a generous maternity policy* and onsite childcare facilities.

The University of Southampton is in the top 1% of world universities and in the top 10 of the UKs research-intensive universities.

Our vision is to embed the principles of sustainability into all aspects of our individual and collective work, integrating sustainable development into our business planning, policy-making, and professional activities.

This commits all of our staff and students to take responsibility for managing their activities to minimise harm to the environment, whether this through switching off non-essential electrical equipment or using the recycling facilities.

*subject to qualifying criteria.

You should submit your completed online application form here.

The application deadline will be midnight.

If you need any assistance, please call Annabelle Trimm (Recruitment Team) on +44 (0) 23 8059 4043 or email recruitment@soton.ac.uk.

Please quote reference 1295620FP on all correspondence.


Status: Research Fellow
Location: Southampton, UNITED KINGDOM
Advert Published: 9 Nov 2020
Expiry date: 9 Dec 2020
University of Southampton Ref. No.:
1295620FP
Academic Jobs EU Ref. No.:
Please quote this number if applying for this job offline.
J22008
 

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