Research Assistant/Associate - Natural Language Processing (Fixed Term)

University of Cambridge
July 07, 2024
Contact:N/A
Offerd Salary:£29,605-£44,263
Location:N/A
Working address:N/A
Contract Type:Fixed-term: The fund
Working Time:Negotigation
Working type:N/A
Ref info:N/A
Research Assistant/Associate - Natural Language Processing (Fixed Term)

Fixed-term: The funds for this post are available for 16 months.

The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a word wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Please follow the link at: https: // www. cst.cam.ac.uk to find out more about our Department

We are looking for a Research Assistant/Associate to work on the project Automated Verification of Textual Claims (AVeriTeC), an ERC project led by Prof. Andreas Vlachos at the University of Cambridge starting in September 2024 or as soon as possible thereafter. The successful candidate will be based in the Natural Language and Information Processing group (https:// www. cl.cam.ac.uk/research/nl/) at the Department of Computer Science and Technology. The project will focus on developing approaches enabling the verification of highly complex claims, which require multiple pieces of evidence. Particular focus will be paid to accompanying the verdicts with suitable justifications.

Candidates will have completed a Ph.D. (or be close to completing it) in a relevant field such as NLP, Information Retrieval, Artificial Intelligence or Machine Learning and be able to demonstrate a strong track record of independent research and high-quality publications. Essential skills include excellent programming (Python), NLP techniques, Machine Learning, and proven communication skills. Candidates must provide the names and contact details of two referees who are familiar with their work in the relevant field whom we can contact for a reference before the interviews, which are expected to take place in July 2024.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a world wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Please follow the link at: https: // www. cst.cam.ac.uk to find out more about our Department.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Enquiries concerning this position should be directed to Prof. Andreas Vlachos ([email protected]), and applicants are encouraged to contact him regarding the position.

Please quote reference NR42002 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information
  • Further Information
  • Department/Location

    Department of Computer Science and Technology, West Cambridge

    Salary

    £29,605-£44,263

    Reference

    NR42002

    Category

    Research

    Published

    9 June 2024

    Closing date

    7 July 2024

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