Connectionists: Research Fellow post in Machine Learning (leading to permanent academic position)

[Fasli, Maria]

Apologies for cross postings

***Postdoctoral Research Fellow Post in Machine Learning/Artificial Intelligence***
3-year Fellowship post leading to permanent academic position
£32,548 - £38,832 per annum
Institute for Analytics and Data Science
University of Essex, UK
Closing date: 8th January


The University of Essex (UK) is currently advertising a Postdoctoral Research Fellow post in the Institute for Analytics and Data Science (IADS) to support the Institute’s work in analytics, data science and big data. The post is for an initial 3-year period within IADS during which the post-holder will be on probation. On successful completion of the Fellowship and the probation period, the post-holder will be offered a permanent appointment as a Lecturer in the School of Computer Science and Electronic Engineering at the University of Essex.

The duties of the Postdoctoral Research Fellow include undertaking high quality independent and collaborative research that meets REF standards, applying for grants, contributing to public engagement and impact, developing interdisciplinary collaborations within IADS, supporting the research culture of the Institute, supervising students, and supporting IADS administratively.  The Fellow will also undertake a limited amount of teaching to enable them to meet the requirements of probation, and to provide a good foundation in higher education practice for the Fellow's ongoing career. The person appointed will work closely with the Director of the Institute and UNESCO Chair in Analytics and Data Science, Prof Maria Fasli and Assistant Director Dr Spyros Samothrakis.

Applicants should hold a PhD in Computer Science or related area and have excellent knowledge of computer science, artificial intelligence, machine learning or advanced text analytics. Particular research areas of interest include but are not limited to:

- machine learning;
- reinforcement learning, neural networks, deep learning;
- data mining;
- predictive analytics;
- natural language processing and advanced text analytics;
- semantic information extraction and the Semantic Web;
- social media analysis;
- handling of data in motion (multi-stream processing and reasoning, complex event    processing and reasoning);
- decision support tools and systems.

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

https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID%3d333171EkCU%1BUSESSION=DCC131C22B8346FFB7FC55A2DC3B41FD&WVID=9918109NEm&LANG=USA

The job specification can be found here:

https://www1.essex.ac.uk/hr-jobpacks/science_health-csee/REQ00948_Jobpack_Published.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

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