Research Fellow in AI For Good
| Posting date: | 12 April 2024 |
|---|---|
| Salary: | £34,980 to £42,978 per year |
| Hours: | Full time |
| Closing date: | 09 May 2024 |
| Location: | Southampton, Hampshire |
| Remote working: | Hybrid - work remotely up to 1 day per week |
| Company: | University of Southampton |
| Job type: | Contract |
| Job reference: | 2682224FP |
Summary
At Southampton, you will join an internationally renowned and multi-disciplinary team led by Professor Gopal Ramchurn. You will be based in the Agents, Interaction, and Complexity Research group, which is home to Responsible AI UK (rai.ac.uk) a £31M strategic investment by UKRI, and part of the School of Electronics and Computer Science.
The role will involve a core focus on AI research (machine learning, multi-agent systems, causal AI, optimisation), along with participation in a range of multidisciplinary research projects that will not only include developing AI systems for good purposes/uses, but moving beyond that by addressing the sustainability of developing and using AI systems in and of themselves.
The multidisciplinary research will be focused on addressing the whole sociotechnical system of AI. It will involve responsible design, development and deployment of AI techniques which will be compatible with sustaining environmental resources for current and future generations; economic models for societies; and societal values that are fundamental to a given society. Some potential applications are healthcare, transportation, defence and security, and creative industries among others.
You will work as part of or lead multi-disciplinary teams from across the RAI UK programme.
To be successful you will have:
PhD in a field related to one of the following: Deep learning, Explainable AI, Causal reasoning.
A strong publication record in AI venues (NeurIPS, AAMAS, ECAI, ICML, IJCAI, AAAI, Journal of Machine Learning Research).
Demonstrate experience or interest in interdisciplinary research, going beyond standard engineering and computer science fields.
Demonstrable ability to present work clearly both in written form and orally.
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, LGBT and disabled applicants to apply for this position. We are committed 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*, onsite childcare facilities
The University of Southampton is in the top 1% of world universities and in the top 10 of the UK’s research-intensive universities. The University of Southampton is committed to sustainability and being a globally responsible university and has recently been awarded the Platinum EcoAward. 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
Applications for Research Fellow positions will be considered from candidates who are within six months of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.
The role will involve a core focus on AI research (machine learning, multi-agent systems, causal AI, optimisation), along with participation in a range of multidisciplinary research projects that will not only include developing AI systems for good purposes/uses, but moving beyond that by addressing the sustainability of developing and using AI systems in and of themselves.
The multidisciplinary research will be focused on addressing the whole sociotechnical system of AI. It will involve responsible design, development and deployment of AI techniques which will be compatible with sustaining environmental resources for current and future generations; economic models for societies; and societal values that are fundamental to a given society. Some potential applications are healthcare, transportation, defence and security, and creative industries among others.
You will work as part of or lead multi-disciplinary teams from across the RAI UK programme.
To be successful you will have:
PhD in a field related to one of the following: Deep learning, Explainable AI, Causal reasoning.
A strong publication record in AI venues (NeurIPS, AAMAS, ECAI, ICML, IJCAI, AAAI, Journal of Machine Learning Research).
Demonstrate experience or interest in interdisciplinary research, going beyond standard engineering and computer science fields.
Demonstrable ability to present work clearly both in written form and orally.
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, LGBT and disabled applicants to apply for this position. We are committed 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*, onsite childcare facilities
The University of Southampton is in the top 1% of world universities and in the top 10 of the UK’s research-intensive universities. The University of Southampton is committed to sustainability and being a globally responsible university and has recently been awarded the Platinum EcoAward. 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
Applications for Research Fellow positions will be considered from candidates who are within six months of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.
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