At S[&]T we are specialized in R&D solutions for space, science, and defence. We live and breathe innovation, and are one of the few partners that work together with High Tech organizations in optimizing performance through projects on-site or in-house at S[&]T.
We are currently looking for a Scientific Programmer located in Eindhoven.
We are looking for a Scientific Programmer with a passion for embedded systems. Ideally, you are someone who enjoys working on high-tech projects, and is available full-time in Eindhoven. Furthermore, you have the following:
- Academic degree in Computer Science, and a relevant professional background;
- At least 3 years of relevant work experience;
- Affinity with formal methods, in particular in the area of model learning (e.g. active automata learning, process mining, state machine learning);
- Experience with related tools for model learning and data analytics (e.g. ProM, RapidMiner, KNIME);
- Experience in using and developing for the Eclipse Platform and related technologies (e.g. programming languages like Java and Xtend, the Eclipse Plug-in Development Environment, and build tools like Maven/Tycho);
- You can quickly produce prototype tools and design experiments (e.g. using scripts in Python and Bash);
- Preferably, you have experience with Oomph, Git / Stash, Jenkins / Bamboo, JIRA, Nexus;
- You are goal oriented, self-driven professional with a strong will to deliver quality results.
As a Scientific Programmer, you will be an active member of the strategic research team, working in one of our client’s research projects, where you will develop new capabilities for design and engineering of software-intensive high-tech systems and applications. Most of their time these research teams are working on the customer premises.
Your work will focus on the continuous development of generative and analytic tools for the analysis of existing (legacy) components of complex software-intensive high-tech systems. The objective is to obtain insight into the (interface) behaviour of existing components, harnessing the intrinsic knowledge encoded in e.g. the source code of the component and execution traces produced by the component’s code. This to reduce the effort needed for (re-)engineering of existing (legacy) components, significantly reducing project risks, costs and time. You are keen to advance these capabilities by participating in a team of multiple researchers designing and implementing these software-based tools, demonstrating their value in practice, and help bring them into industrial use.
Would you like to hear more? Send your CV and motivational letter to email@example.com, or apply directly through our website!
Please note that if you do not hear back from us within 10 days from your application, you may assume that we have selected another candidate we would like to interview for this position. We do our best to get back to you individually, however, due to a high volume in response, have not been able to reject your application in person.