Connectionists: RCUK Innovation Fellowship in AI/ML, University of Essex

[Fasli, Maria]

Apologies for cross postings

*** RCUK Innovation Fellowship ***
Institute for Analytics and Data Science
University of Essex, UK

3 year Fellowship post
Grade 8: £32,548-£38,832 per annum/Grade 9: £39,993- £41,212 per annum

Closing Date:  8th January 2018

The University of Essex (UK) is currently advertising an RCUK Innovation Fellowship (3 years) in the Institute for Analytics and Data Science (IADS) on “Discovering Individual and Social Preferences through Inverse Reinforcement Learning”. Appointment to this post will be made as Research Fellow. The main duties of the post include to undertake foundational and applied Research and high quality independent and collaborative research within the scope of the RCUK Innovation Fellowship that meets REF standards. Other duties include to contribute to Public Engagement & Impact such as community engagement and interactions with other public sector bodies, business and the third sector.

The candidate will be required to comply with the conditions of the RCUK Fellowship (for more details see job specification).

Applicants are also required to have a PhD (or be near completion) in Quantitative Social Science, Computer Science, Artificial Intelligence, Data Science, Statistics, or related discipline, or related professional experience. Candidates should have a maximum of four years academic research experience following the submission of their PhD, or be of equivalent professional standing.

Particular research areas of interest include but are not limited to:

  *   quantitative methods;
  *   advanced statistical methods;
  *   machine learning;
  *   reinforcement learning;
  *   social preference and social choice.

For more information and to make an application, please see here:

https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=149758FjYY&WVID=9918109NEm&LANG=USA

The job specification can be found here:

https://www1.essex.ac.uk/hr-jobpacks/science_health-csee/REQ01033_Jobpack.pdf

Informal enquiries can be directed to Prof Maria Fasli (mfasli at essex.ac.uk<mailto:mfasli at essex.ac.uk>).


Professor Maria Fasli PhD, NTF, FHEA
UNESCO Chair in Analytics and Data Science
Director, Institute for Analytics and Data Science
University of Essex
T +44 (0)1206 872327
E mfasli at essex.ac.uk<mailto:mfasli at essex.ac.uk>




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