The University of Essex recognises the value that comes with a diverse workforce. More information on our commitment to diversity and inclusion can be found in our Strategy.
KTP
Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations.
Further information is available at: https://iuk-ktp.org.uk/.
THE PROJECT
The University of Essex in partnership with Centerprise International offers an exciting opportunity to a graduate with the relevant skills and knowledge to leverage AI in designing an advanced cybersecurity solution that detects threats in real-time and communicates them clearly, streamlining and simplifying responses for users at different technical levels.
DUTIES OF THE POST
The duties of the post will include:
- Transforming Centerprise’s in-house cybersecurity software using Large Language Models (LLMs).
- Using AI/ML to simplify the Centerprise’s cybersecurity and other internal processes.
- Developing of user Interface and API to integrate the AI/ML with the in-house cybersecurity software.
- Supporting company scale up and exploitation of new technology.
- Acting as project lead, to progress the project and ensure milestones are met to a timely manner.
- Embedding technology, training and upskilling company staff.
- Participating in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community.
These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances.
KEY REQUIREMENTS
Qualifications/Training:
- BSc in Computer Science or related fields.
- MSc in Computer Science, Data Science, AI, or a similar field, or relevant industrial experience.
Experience/Knowledge:
- Strong programming skills.
- Experience in Python and relevant NLP libraries.
- Knowledge and expertise in Natural Language Processing (NLP).
- Experience with modern deep learning frameworks (e.g., PyTorch).
- Knowledge about the implementation of basic privacy and authentication techniques in Python.
- Experience in using Large Language Models in real-world use cases.
- Experience in working with large datasets.
- Knowledge of cybersecurity and privacy regulations (e.g. GDPR).
- Knowledge about software security (security by design).
- Excellent written and spoken English.
Skills/Abilities:
- Excellent problem-solving skills.
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Creative thinking with a strong passion for answering challenging questions.
- Ability to write technical documentation/academic papers.
- Excellent communication skills.
- An understanding of the need to balance academic and commercial outputs.
- Ability to deal with clients and good relationship building skills.
- Being able to work in a fast-moving environment, listening to feedback and working collaboratively.
- Ability to lead a complex project with competing deadlines and priorities.
BENEFITS
As a KTP Associate, the post will offer the following benefits:
- A personal development budget of £5,667 (exclusive of salary).
- Management training and mentoring by an Innovate UK KTP Adviser.
- An interesting and challenging role, with exposure to a variety of stakeholders.
- Full access to university resources to complete the project.
- World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.
LOCATION
Centerprise International Limited
Hampshire International Business Park,
Lime Tree Way Chineham,
Basingstoke,
Hampshire,
RG24 8GQ
For those who do not have a right to work in the UK, the University will be able to support a fast-track Global Talent visa application under the Endorsed Funders route.
Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please contact resourcing@essex.ac.uk.
