Location
Dstl Newcastle, Catalyst Building, Newcastle upon Tyne
About the job
Summary
Be part of a new Dstl AI & Data Team in Newcastle.
Have you heard that Dstl is establishing a new team focussed on artificial intelligence and data science in Newcastle? Are you interested in being part of a new and unique team in a domain which is in growing demand across Defence and Security?
We are looking for hard working, experienced individuals to undertake exciting data science and artificial intelligence related research to help enable Defence to turn data into information advantage and to accelerate the responsible adoption of artificial intelligence across Defence.
We are seeking:
• AI Researchers
• Data Scientists
• Data Engineers
• AI Systems Thinkers
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In these roles you will:
• Bring your background and thinking to guide the research of novel techniques and capabilities to work on a variety of exciting and challenging problems that owing to their sensitivity cannot be done elsewhere.
• Make a difference and have pride in what you do; our work improves the front-line capability of the UK Armed Forces, keeps British citizens safe and support national prosperity.
• Form links across Dstl, Government, industry and academia. We work with an array of partners both at home and abroad including the Armed Forces, other Government departments and industry.
• Develop your career in exciting new areas that are growing to meet ground breaking challenges.
• Support Group wide technical activities such as technical forums, monthly meets and lightning talks and the mentoring of junior staff.
• We’re proud of our impartial status, doing things for the right reasons.
We love to publish academic papers and file patents. We’ve used open competitions (e.g. Kaggle) to access the very best worldwide expertise in machine vision. And we’ve sought to harness the power of the open source software community through the release of various tools on Github, for example Baleen and Stone Soup (https://github.com/dstl).
We give our people the freedom to think and innovate; working with others who are passionate about delivering quality technical solutions in a friendly and encouraging environment. And we offer loads of opportunities to keep up-to-date with the latest developments, through training and scholarships, attending and presenting at conferences, and working closely with industry and academic colleagues.
We will be running an online Meet and Engage session on Thursday 17 Feb between 5-6pm where you will have the opportunity to ask any questions about the roles we are recruiting for or the recruitment process itself. This will be a text based chat room, to register and attend the event please follow this link – https://meetandengage.com/akz8mzww1
Skills:
You will have knowledge and experience in one or more of the following areas:
Essential:
• AI and Machine Learning
• Data science research and development
• Systems engineering (applied to data / information / intelligence challenges)
• Data Engineering
• Data management/curation
• Digital signal processing
• Data architectures
Desirable:
• Experience working with industry or academic partners
• Experience setting organisational or technical direction and capability planning
• Knowledge of military systems and platforms
• Ethics/legal
• Human machine teaming
• Consulting skills
Responsibilities
We need great people! We’re looking for those with:
• The ability to develop positive and effective working relationships with internal colleagues and external stakeholders, partners and suppliers
• A desire to deliver world-class science and technology with the sole purpose of keeping the UK, our armed forces, security services, and our citizens, safe and secure.
• Able to successfully manage multiple tasks simultaneously.
• The ability to apply statistical rigour, critical thinking and creative problem solving to a variety of data sets (e.g. text, imagery, geospatial, time-series), seeking out new, high-risk, high payoff technologies and techniques.
• A natural curiosity and independent drive to research, experiment and understand
• Enthusiasm and experience in applying AI, ML and Data Science techniques to complex problems.
• A strong focus on learning new skills and techniques in order to keep current and continue their own professional development.
• The ability to lead and work collaboratively to deliver innovative impactful results.
Qualifications:
Essential:
• A minimum 2:1 degree in a relevant numerical degree with working knowledge of mathematics and statistics e.g. data science, computer science, geospatial science, mathematics, statistics, physics, chemistry, engineering or related technical subject. Those with equivalent experience are also actively encouraged to apply.
Desirable:
• A higher degree (MSc or PhD) in a related subject is desirable although we are also keen to hear from those with equivalent experience.
Important Information
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
If you are a current Dstl employee, you are encouraged to inform your line manager of your application as they can support you through the process and should you be successful it will help in negotiating a release date.
Work location
Dstl is strongly encouraging blended and flexible working either at one of our sites or from home or both. We want to empower you to undertake your duties at the most appropriate location for the task, however you will be allocated a Dstl site as a base. You may be required to travel to other Dstl and MoD sites as required.
Behaviours
We’ll assess you against these behaviours during the selection process:
- Changing and Improving
- Working Together
- Leadership
- Seeing the Big Picture
Click the link below to apply: