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Inference Algorithm Engineer

TMC -
Eindhoven

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Vacaturegegevens

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1 uur geleden

Secundaire arbeidsvoorwaarden

Winstdeling
Budget voor professionele ontwikkeling

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Netherlands Data Science Eindhoven Hybrid

Build cutting‑edge inference algorithms at the intersection of physics & AI. Model uncertainty, design Bayesian methods, and enable real‑time reasoning in complex high‑tech systems.

About The Member Company

We are a global high-tech consultancy company with a team of entrepreneurial engineers, scientists, and digital experts from around the world. Together we form a fast-growing and proud community. We offer consultancy services to high-profile clients globally in diverse service areas, such as:

Technology & Engineering
Energy & Renewables
Life sciences & Pharma
Digital & IT

About this vacancy

As an Inference Algorithm Engineer, you develop the algorithms and mathematical frameworks that enable high‑tech systems to extract structure, estimate states and reason under uncertainty in high‑dimensional environments. You work where applied physics, probabilistic modelling, numerical optimisation and machine learning intersect.

Your responsibilities:

Develop physics‑informed inference algorithms grounded in probability theory, system dynamics and measurement physics.
Build mathematical models describing complex physical systems, including noise processes, interactions and uncertainty mechanisms.
Design Bayesian estimation pipelines such as Kalman filtering variants, particle filters, variational inference or MCMC methods.
Prototype, validate and benchmark algorithms through simulation and experimental setups.
Translate theoretical models into efficient, scalable and real‑time capable implementations.
Collaborate with sensing specialists, physicists, embedded software engineers, control experts and system architects to integrate inference algorithms end‑to‑end.
Perform sensitivity studies, robustness analysis and uncertainty propagation assessments across physical models.
Explore new physics‑informed inference methodologies and identify opportunities for performance breakthroughs.
Present clear, well‑founded algorithmic decisions and guide multidisciplinary teams in selecting the right inference approach.

What we expect from you

Your responsibilities:

Develop physics‑informed inference algorithms grounded in probability theory, system dynamics and measurement physics.
Build mathematical models describing complex physical systems, including noise processes, interactions and uncertainty mechanisms.
Design Bayesian estimation pipelines such as Kalman filtering variants, particle filters, variational inference or MCMC methods.
Prototype, validate and benchmark algorithms through simulation and experimental setups.
Translate theoretical models into efficient, scalable and real‑time capable implementations.
Collaborate with sensing specialists, physicists, embedded software engineers, control experts and system architects to integrate inference algorithms end‑to‑end.
Perform sensitivity studies, robustness analysis and uncertainty propagation assessments across physical models.
Explore new physics‑informed inference methodologies and identify opportunities for performance breakthroughs.
Present clear, well‑founded algorithmic decisions and guide multidisciplinary teams in selecting the right inference approach.

What you can expect from us

TMC is an international high-tech consultancy company that brings expertise to their clients in order to support them with the realization of their technological challenges. As such, TMC is operating as an expert center at the disposition of its clients and we help them to be more competitive in an ever more global and faster changing technological world. At TMC we believe that people are the driving force behind technological innovation. That is why we want to create the best possible conditions for tech talents to thrive in. We offer you a challenging and stimulating work environment in which you can be the director of your own career. As an Employeneur you are part of our TMC family. Next to our outstanding technical expertise, fun and engagement are meaningful parts of our culture.

The 5 basic principles of employeneurship

As pioneers in employeneurship, we have redefined the traditional work model. We offer our employeneurs the opportunity to combine the security of a permanent contract with their passion for entrepreneurship.

A long-term working relationship

Enjoy the security of a long-term contract and a stable source of income while getting the opportunity to work at diverse projects.

Individual profit sharing

Full transparency. That’s it. For each of your projects, you know your hourly rate, your costs, and your individual performance-based profit sharing, all in order to stimulate your inner entrepreneur.

Business cells

Our employeneurs are grouped in business cells based on their technical expertise. They are small, focused and function as high-grade knowledge networks. And as buzzing communities of close colleagues.

YOUniversity

Every employeneur drives their own career. Together, we make a plan for personal and professional growth. Receive personal coaching and an extensive training budget to keep developing yourself and deliver outperformance at our clients.

The Entrepreneurial Lab

Work on your technical ambitions within our Entrepreneurial Lab (TEL). Here, you are given the space to explore ideas, experiment, and develop them into tangible solutions. In multidisciplinary teams, you collaborate with colleagues from different fields, bringing in new perspectives and accelerating innovation. The lab not only provides access to knowledge and resources, but also encourages ownership. This allows you to develop not only your technical expertise, but also your entrepreneurial skills, enabling you to actively contribute to solutions that truly make a difference.

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Ik wil de nieuwste vacature-alerts ontvangen voor de functie van support engineer in gemert, nb

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