Skip to main content

Jobs at the University of Reading – University of Reading

Show access keys
Accessibility Tools

Jobs at the University of Reading

Job details

Postdoctoral Researcher for NLP/Recommender Systems
Whiteknights Reading UK

Job reference: SRF30537

Location: Whiteknights Reading UK

Closing date: 11/11/2019

Job live date: 11/10/2019

Salary: £30,942 to £40,322 per annum

Employment type: AR-Research

Department: School of Mathematical Physical & Computational Sciences

Division: Computer Science

Hours per week: 1.00 FTE

Employment Basis/Type: Full-time,Fixed-term up to a year

The Departments of Computer Science and English Language and Applied Linguistics of the University of Reading are pleased to announce an exciting opportunity in Natural Language Processing, Recommender Systems, Data Mining, and Machine Learning. The post will support research and outreach activities associated with the second year research of an EIT Food/Horizon2020 project entitled Developing a Digital Toolkit to Enhance the Communication of Scientific Health Claims. The project brings together researchers in computer science, applied linguistics/discourse analysis, behavioral economics, food and nutrition sciences, and information design to study how consumers respond to different kinds of linguistic, semiotic and marketing cues related to regulated health claims on food packages. The project involves partners in the UK and Europe as well as industry collaborators. Please check https://www.healthclaimsunpacked.co.uk/ for more detailed information about this project.


Main duties and responsibilities
The post-holder will work directly with the Principal Investigator (Professor Rodney Jones) and co-investigators (Dr Huizhi Liang, Dr Sylvia Jaworska, Dr Giuseppe Nocella, and Dr Jeanne-Louise Moys) to undertake the research necessary towards meeting the aims of the grant. 

•    The post holder will be involved in conducting data collection, processing, and empirical analysis of health claim statements on food packages, designing novel algorithms based on cutting-edge data mining and machine learning techniques, and cooperating with software development team of industry partner to develop a software tool kit for consumers and manufactures.


•    The post holder will also be involved in planning and carrying out a number of public events and outreach activities associated with the project, supporting dissemination of project related information via social media, and preparing articles for publication in scholarly journals and for presentation at academic conferences. 
 

The successful candidate will have:

  • PhD in Computer Science or equivalent qualification. Specialisation in one or more of the following areas:
    • Natural Language Processing
    • Recommender systems and personalization
    • Data mining
    • Machine learning
  • Good programming skills with Python.
  • Good communication skills

 

Informal contact details

Alternative informal contact details

Contact role:

Co-investigators

Contact role:

Principle Investigator

Contact name:

Dr. Huizhi(Elly) Liang

Contact name:

Prof Rodney Jones

Contact phone:

+44 (0)118 378 8757

Contact phone:

+44 (0)118 378 8515

Contact email:

Huizhi.liang@reading.ac.uk

Contact email:

r.h.jones@reading.ac.uk

 

Interviews will be held on 22/11/2019

The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and is a Diversity Champion for Stonewall, the leading LGBT+ rights organisation.  Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.

 

The closing date for this job has now passed.

Back

Get in touch

If you have a question or want to find out more about working at the University of Reading get in touch:

We use Javascript to improve your experience on reading.ac.uk, but it looks like yours is turned off. Everything will still work, but it is even more beautiful with Javascript in action. Find out more about why and how to turn it back on here.
We also use cookies to improve your time on the site, for more information please see our cookie policy.

Back to top