Research Fellow in Machine Learning, Natural Language Processing and Speech Processing at UNIVERSITY OF SOUTHAMPTON


Agents, interactions and complexity

Site: Campus Highfield

Salary: £31,406 to £38,587 Per year
Full-time CDD (12 months)

Closing Date: Wednesday 09 March 2022

Date of interview: be confirmed

Reference: 1694122FP

The roles will be part of the UKRI Trustworthy Autonomous Systems Hub (TAS Hub). The Hub is led by the University of Southampton with partners from the University of Nottingham and King’s College London. TAS Hub is the focal point of the £33m UKRI Trustworthy Autonomous Systems program (for details see

You will undertake independent research and work as part of a team – this will include using approaches or methodologies and techniques appropriate to the type of research, and responsibility for writing up your work so as to contribute to published results. You will have the opportunity to use your creativity to identify research areas, develop research methods and expand your research portfolio.

As the research will need to generalize to more than one application domain (e.g. healthcare, autonomous vehicles, IoT, etc.), this provides the opportunity to collaborate with partners across the TAS Hub and the wider TAS program (i.e. the 60+ TAS hub industry partners and TAS nodes) and complete industry internships.

To take advantage of these opportunities, you will have a PhD or equivalent professional qualifications and experience in one of the following areas: – Machine learning, natural language processing and speech processing. Since the work will need to be carried out in a multidisciplinary setting involving experts and researchers from fields such as health, law, engineering, business and politics, it is important that you can communicate the results of the research in an understandable way. and useful to researchers from various disciplines.

Candidates will have experience in machine learning (with applications to computer vision, speech or signal processing), reinforcement learning and natural language processing to develop and evaluate a range of autonomous systems for challenging real-world applications. Experience with evaluation methods such as user studies and surveys, and a demonstrable interest in stand-alone systems would be a welcome addition.

Solid experience of good publications in international venues (IJCAI, AIJ, JAIR, ICML, ICLR, AAMAS, NeurIPS) is desirable.

Equality, diversity and inclusion are central to the philosophy of the School of Electronics and Computer Science. We especially encourage female, 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 were successful in securing an Athena SWAN Bronze Award in April 2020. We give special consideration to applicants who wish to work flexibly, including part-time, and a special consideration will be given to candidates who have taken a break in their career. The University has a generous maternity policy*, on-site daycare

The University of Southampton is in the top 1% of global universities and in the top 10 research-intensive UK universities. The University of Southampton is committed to sustainability and is a globally responsible university and was recently awarded the Platinum EcoAward. Our vision is to integrate the principles of sustainability into all aspects of our individual and collective work, integrating sustainability into our business planning, policy development and professional activities. This commits all our staff and students to taking responsibility for managing their activities to minimize damage to the environment, whether by switching off non-essential electrical equipment or using recycling facilities.

*subject to eligibility criteria

Positions are full-time and fixed-term for one year initially. Positions must start March 1, 2022.

Applications for Research Associate positions will be considered by applicants who are within six months of obtaining a relevant PhD. The title of associate researcher will be applied after successful completion of the doctorate. Prior to the award of the qualification, the title of Senior Research Assistant will be awarded.

Application procedure

You must submit your completed online application form to The application deadline will be midnight on the closing day 09/03/2022. If you need help, please contact Sian Gale (Recruitment Team) on 02380 592750 or [email protected] Please quote reference 1694122FP on all correspondence.


Comments are closed.