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Accelerated Knowledge Transfer Centre Research Associate - Quantum-h

University of Reading - Higher Education

Location: Reading
Salary: £33,966 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 1st March 2024
Closes: 10th March 2024
Job Ref: SRF46972
 

An opportunity to work on a UK Government Funded interdisciplinary Project that will investigate how innovative digital technology can be enhanced and adapted in the Higher Education environment, by investigating the impact of Artificial Intelligence data mining on Open Access Research Data, delivering digital solutions aimed at tracking, registering and ultimately protecting against Artificial Intelligence misuse during the research data life-cycle.

You will be working with the School of Law and our business partner, Quantum-h, a Reading and London based technology company, who offer custom software solutions utilising digital technologies to solve business challenges. Quantum-h’s existing business offerings include AI Consulting, Custom Software Development, QR coding, NFC tag contactless solutions, Blockchain, Data Masking and Digital Authentication solutions. You will gain invaluable practical business development and project skills in the AI technology space that will assist in career progression and potential opportunities after the Project.

Associate main duties and responsiblities

  • Assist the Supervisor from the School of Law and the Business Partner in developing a Research Data Protection Tool.
  • You will be responsible for looking at research data to develop a data-to-insight-to-action loops that will develop an understanding of the re-use of research data after AI data mining.

Essential skills, knowledge and experience required

  • Current or post-doc student with an MSc in Data Science and Advanced Computing.
  • Intrinsic understanding of AI concepts and infrastructures of AI models.
  • Understanding Machine Learning Algorithms, including concepts such as the Bayesian statistical model, Gaussian process model and Tanimoto and Euclidean-based kernels.
  • In-depth understanding of AI data mining techniques including HTML parsing, Data Mining and DOM Parsing.
  • Understanding of data security tools such as cryptography and blockchain.
  • Ability to work in a commercial environment to identify problems that can be resolved using data science techniques.
  • Can apply business acumen to develop feasible data-based recommendations that will address organisational problems.

Desirable skills, knowledge and experiece:

  • An understanding of open research data repositories.
  • An understanding of persistent identifiers, ORCID and Crossref.

Informal contact details
Contact role: Director of Continuing Professional Education and Lecturer
Contact name: Marzia Briel
Contact phone: Phone: 0118 378 4948
Contact email: Marzia.briel@reading.ac.uk

Alternative informal contact details
Contact role: Knowledge Transfer Partnership Officer
Contact name: Annie Duffin
Contact phone: 0118 378 4433

Contact email: a.duffin@reading.ac.uk

Closing date: Sunday 10 March
Interviews will be held: Wednesday 13 March 2024

Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. However, non-UK candidates who do not already have permission to work in the UK should note that by reference to the applicable SOC code for this role, sponsorship will not be possible under the Skilled Worker Route. There is further information about this on the UK Visas and Immigration Website.

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

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