AI Research Intern - Optimisation & Control

Who we are

The role

At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks.

The day-to-day

• Design and implementation of algorithms to solve challenging optimisation & control problems

• Experimental design, implementation, and execution to evaluate new control algorithms

• Collaboration with and support of other researchers across the company

• Communication of research agenda, progress, and results

• Internships are 16 to 24 weeks long and have various start dates

• Specific projects will be designed in collaboration with successful applicants

You should apply if you

• Are in the process of obtaining a PhD or are finishing your Masters in robotics, control, computer science, engineering or related field

• Have experience in conceptualising, implementing and thoroughly evaluating advanced control systems

• Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally

• Possess solid software engineering skills, writing clean and well-structured code in Matlab, Python and/or languages like Rust, or modern C++

Note: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• A proven track record of achieving results as demonstrated in accepted papers in top-tier conferences such as CDC, ECC, ACC, ICRA, IFAC, or top-tier journals such as IEEE TAC, Automatica, IEEE TCST, IEEE TCNS, IEEE T-RO

• Interpersonal experience: cross-group and cross-culture collaboration

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

• A focus on outcomes, not time-tracking

• Social allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled "AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one