Careers
TNO-ESI as an employer
TNO-ESI is always looking for talent to reinforce our team of research fellows.
If you have a relevant background in computer science, electrical engineering or applied mathematics, have a strong affinity with applied R&D in an industrial context and looking for the next step in your career, feel free to send your open application, including your CV and a motivation letter to the TNO-ESI Science Director Wouter Leibbrandt and the recruiter Yvonne Pribnow, (contact details below).
You will participate in a strategic research team, working in one of the TNO-ESI research projects, where you explore new capabilities for software-intensive high-tech systems and applications.
Your work will be in the research program evolvable systems on the topic of rejuvenation of legacy code bases. The objective of the program is to reduce the cost of ownership over the lifetime of a product by removing technical debt. The work contains of developing proof of concepts to demonstrate the problem, develop different scenarios for solution and demonstrate the value, constraints and benefits of these solutions and help bring them into industrial use.
At this moment there are several projects in TNO-ESI in which application of formal methods is investigated together with industry partners.
Your work consists of researching the problem, developing proof of concepts to demonstrate the problem, develop different scenarios for solutions; demonstrate the business value, constraints and benefits of these solutions and help bring them into industrial use.
We are always looking for students for internships.
As HMLV systems’ characteristics are different from traditional mass production systems’, dedicated methods are needed to reason about these systems. In this assignment, we want to work out a method to model and analyze the performance of HMLV systems using simulation tooling. The method should be lightweight, such that it can easily be adopted by HMLV companies that are typically SMEs.
The candidate will investigate several research questions: What are the challenges faced by open-source research projects and what are the current practices that address them? What are the factors, inner workings and practices that influence the success or failure of open-source research projects?
This research will provide actionable insights about best practices of open source research software based on empirical evidence collected by combining qualitative and quantitative methods.