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Research Fellow GenAI | Eindhoven
Want to make your mark on our time? Become a Research Fellow GenAI at TNO in Eindhoven!
About this position
ESI is a leading research group within the Netherlands Organization for Applied Scientific Research (TNO). It contributes to society and economy by driving advances in high-tech and embedded systems design at a multidisciplinary level, with a strong shared research programme, dedicated innovation support services and a focused competence development programme. Its key objective is to raise high-tech and embedded system design from a craft to a scientifically based engineering discipline. ESI works for global technology leaders with research programs that focus on the design of complex high-tech systems. Research programs are tailored to address a variety of application domains, such as microelectronics manufacturing, medical imaging, IC design, high-end printing solutions, digital consumer products, safety & security, etc. These applications are typically characterized by the large-scale and tightly coupled integration of intelligent components and multidisciplinary enabling technologies. Our success is based on delivering high-impact methods, techniques and tools that increase the rate of innovation, both to industry and societal applications. Please refer to www.esi.nl for further details.
What will be your role?
You will have the unique opportunity of raising the systems engineering competencies in the high-tech industry to a higher level, building on the knowledge and insights generated by the research projects performed by your colleagues at our industry partners (ASML, Canon, ITEC, Philips, Thales, and Vanderlande).
This role involves conducting applied research, developing strategies and tools for AI integration, and working closely with our research teams to deploy these technologies effectively in an industrial environment.
Your work will be in the research line System Architecting and Engineering Methodologies, investigating the development of digital engineering assistants, using Generative AI based techniques. This program addresses the challenge of knowledge personnel scarcity, by exploiting the recent advancements in Generative AI technologies to empower professionals in getting faster from data to insights in quality management processes.
The work consists of developing proofs of concept to demonstrate the problem, prototype different scenarios for solution and demonstrate the value, constraints and benefits of these solutions and help bring them into industrial practice.
What we expect from you
Function Requirements:
- You are a forward-thinking enthusiast with a deep commitment to harnessing the power of AI, specifically Large Language Models, to transform system engineering and software development.
- You excel in analyzing existing engineering workflows, uncovering opportunities where AI can be seamlessly integrated to optimize performance.
- You will craft and present visionary strategies for AI-powered solutions, designed to elevate system and software design, streamline development, and boost operational efficiency.
- As a key collaborator, you'll work alongside cross-functional teams to integrate AI technologies, ensuring solutions are in perfect sync with project goals and timelines.
- You will be a trusted advisor, providing guidance on AI best practices, cutting-edge tools, and methodologies to empower engineering teams.
- By actively monitoring the effectiveness of AI implementations, you'll deliver actionable insights to drive ongoing improvements.
- Always ahead of the curve, you'll stay up to date with emerging AI trends and innovations, evaluating their potential to shape and enhance future projects.
Competences:
- Degree in Computer Science, Engineering, Data Science, or related field.
- Proven experience with Retrieval Augmented Generation (RAG) and implementing its infrastructure.
- Strong understanding of system engineering and software development lifecycles.
- Proficient in designing end-to-end AI applications, including Docker and cloud platforms (Databricks, Azure preferred).
- Experience developing and maintaining Python-based architectures, following best practices.
- Skilled in designing and implementing AI evaluation frameworks.
- Strong communication and collaboration skills, with experience explaining complex AI concepts to diverse teams.
What you'll get in return
Besides offering a full time position (32-40 hours per week), TNO understands that every employee has different needs. TNO offers flexible terms of employment “a-la-carte”, in which you can exchange various terms of employment against each other on a monthly basis. With flexible working hours (e.g. 4x9 hours) and different leave arrangements you can create a package that serves your needs. TNO believes in the importance of both your personal and professional development. There are many possibilities to shape your own development: Conferences, educations, workshops, intervision and mentoring. At TNO you are in the lead of your own career.
Challenging and varied work with a real impact. And plenty of opportunities as, at TNO, you are in charge of shaping your career. We offer a gross monthly salary between € 4,473 and € 7,406 (based on your knowledge and experience), 8% holiday pay, a 13th month bonus of 8.33% and a flex budget (5.58% + € 180). In addition, you will be given every opportunity to develop yourself.
TNO offers optional employee benefits, enabling you to tailor your benefits package to match your personal situation. You may also expect:
- A good pension scheme.
- A modern mobility policy including 100% public transport reimbursement for commuting and business travel using a Mobility Card.
- An extremely professional, innovative working environment where colleagues are leading experts in their field.
- 28 days annual leave and 5 compensation days under the reduction in working hours scheme (ATV, arbeidstijdverkorting) on a full-time basis.
- Great social events with your team and other TNO colleagues. That’s how you will get to know a lot of people really quickly.
- Flexible working hours and the possibility of working from home.
- The opportunity to attend courses, workshops and conferences, and to receive training and coaching based on your needs.
- Networking opportunities and great activities organized by Jong TNO.
- Extensive relocation package for international candidates.
Read more about tailoring your benefits package.
TNO as an employer
At TNO, we innovate for a healthier, safer and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world. Read more about TNO as an employer.
At TNO we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society. Want to know more? Read what steps we are taking in the area of diversity and inclusion.
The selection process
Please apply before the 16th of March, 2025. The selection process comprises two interview rounds. In a final meeting we will discuss the terms of employment and your tailored benefits package. We aim to finalize the entire process within four weeks.
The selection process may include an online assessment and a reference check.
A certificate of Conduct (VOG) is required before starting a new job at TNO.
Has this job opening sparked your interest?
Then we’d like to hear from you! Please contact us for more information about the job or the selection process. To apply, please upload your CV and covering letter using the ‘apply now’ button.
More information about this vacancy?
Posted by: #LI-AB1 Anouk Bos
Email: [email protected]