Research Engineer in Cybersecurity and Artificial Intelligence (Knowledge Transfer Partnership (KTP) Associate)

The University of Bristol wishes to recruit a highly skilled & qualified graduate to lead and deliver a project with Synoptix Limited, a Systems Engineering company that specialises in delivering engineering solutions across the aerospace, defence, rail, marine and power sectors. This project will develop a cyber security AI to help protect UK critical infrastructure and defence sector systems. The KTP includes a £4,500 training budget & 10% of your time dedicated to your personal development.

Take the Lead:

• You will be the project lead, managing your own workload and ensuring outputs, including leading on meetings and workshops.
• Direct problem-solving activities and your own learning.
• You’ll have creative freedom to suggest changes and develop the project plan.

Interact:

• Continuous support from your academic & company supervisors.
• Work with innovative and ambitious company staff including contact with senior management.

Develop Skills:

• Develop both industry and research skills for your future career.
• Get further qualifications and certifications with dedicated training time and budget.
• Develop experience of the whole product pipeline.

About KTP:
As a KTP Associate you will work with the company to embed new know-how through this innovation project using research and academic support from the University. Apply your degree through real work and springboard your career. This position forms part of a Knowledge Transfer Partnership (KTP) funded by Innovate UK. Knowledge Transfer Partnerships are a partly government-funded programme to encourage collaboration between businesses and universities.
Please visit: https://www.ktp-uk.org/ for more information.

About Synoptix Limited:
Synoptix Limited has a vision to be the leading supplier of Systems Engineering capability and innovation in the UK. They deliver high quality and multi-disciplinary systems engineering support using trusted engineers and software. Synoptix considers systems, safety and reliability engineering to be intrinsically linked. Through the correct implementation of systems engineering, it is possible to mitigate risks, improve efficiency, reduce costs, consolidate requirements and manufacture quality assured products. Synoptix have recently expanded their service offering in AI and cybersecurity.
Please visit: https:// www.synoptix.co.uk/ for more information

The successful applicant will have:

• A first degree (Masters/PhD desirable) in Computer Science, Mathematics, Physics or Engineering (with significant computing content).
• Knowledge of machine learning, data analytics, cybersecurity.
• Expertise in Computer and network security.

Strong analytical skills.

 For informal queries, please contact: Dr Sridhar Adepu ([email protected])

To find out more about what it’s like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineeringincludesme.blogs.bristol.ac.uk/

We recently launched our strategy  to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people – because diversity of people and ideas remains integral to our excellence as a global civic institution.

Available documents

The University of Bristol wishes to recruit a highly skilled & qualified graduate to lead and deliver a project with Synoptix Limited, a Systems Engineering company that specialises in delivering engineering solutions across the aerospace, defence, rail, marine and power sectors. This project will develop a cyber security AI to help protect UK critical infrastructure and defence sector systems. The KTP includes a £4,500 training budget & 10% of your time dedicated to your personal development.

Take the Lead:

• You will be the project lead, managing your own workload and ensuring outputs, including leading on meetings and workshops.
• Direct problem-solving activities and your own learning.
• You’ll have creative freedom to suggest changes and develop the project plan.

Interact:

• Continuous support from your academic & company supervisors.
• Work with innovative and ambitious company staff including contact with senior management.

Develop Skills:

• Develop both industry and research skills for your future career.
• Get further qualifications and certifications with dedicated training time and budget.
• Develop experience of the whole product pipeline.

About KTP:
As a KTP Associate you will work with the company to embed new know-how through this innovation project using research and academic support from the University. Apply your degree through real work and springboard your career. This position forms part of a Knowledge Transfer Partnership (KTP) funded by Innovate UK. Knowledge Transfer Partnerships are a partly government-funded programme to encourage collaboration between businesses and universities.
Please visit: https://www.ktp-uk.org/ for more information.

About Synoptix Limited:
Synoptix Limited has a vision to be the leading supplier of Systems Engineering capability and innovation in the UK. They deliver high quality and multi-disciplinary systems engineering support using trusted engineers and software. Synoptix considers systems, safety and reliability engineering to be intrinsically linked. Through the correct implementation of systems engineering, it is possible to mitigate risks, improve efficiency, reduce costs, consolidate requirements and manufacture quality assured products. Synoptix have recently expanded their service offering in AI and cybersecurity.
Please visit: https:// www.synoptix.co.uk/ for more information

The successful applicant will have:

• A first degree (Masters/PhD desirable) in Computer Science, Mathematics, Physics or Engineering (with significant computing content).
• Knowledge of machine learning, data analytics, cybersecurity.
• Expertise in Computer and network security.

Strong analytical skills.

 For informal queries, please contact: Dr Sridhar Adepu ([email protected])

To find out more about what it’s like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineeringincludesme.blogs.bristol.ac.uk/

We recently launched our strategy  to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people – because diversity of people and ideas remains integral to our excellence as a global civic institution.

Available documents