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PDEng position on Fast Machine Learning-based Image Analysis and Control at TU/e, Netherlands 2022

The Netherlands

PDEng position on Fast Machine Learning-based Image Analysis and Control is available for doctoral degree candidates in electrical engineering at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), Netherlands 2022

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General Info

Position: PhD
No. of Positions: 1
Research Field:
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 2 years
Salary: According to standard norms

Department of Electrical Engineering

Eindhoven University of Technology (TU/e), the Netherlands


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Qualification Details

We are looking for candidates that match the following profile:

  • Have an MSc degree in electrical engineering or any other relevant program.
  • Have theoretical and applied knowledge of signal and/or image processing, control systems, machine learning, embedded programming.
  • Have experience with GPU and/or FPGA programming.
  • Have solid skills in C / C++ / python.
  • Have excellent communication skills in English (written and spoken).
  • Be a flexible team player, actively helping other team members, and see changes as an opportunity to learn and grow.
  • Be a quick learner, able to and interested in acquiring new skills and competences.
  • Show a hands-on attitude, taking responsibility for the process from specification to implementation and validation, including communication and alignment with peers.

Responsibilities/Job Description

Eindhoven University of Technology has a vacancy for a:

Post-Master PDEng position on Fast Machine Learning-based Image Analysis and Control to Accelerate Transmission Electron Microscopes.

in the Electronic Systems group, department of Electrical Engineering.

The ICT post-master designers program is a two-year salaried program in the field of technological design in Electrical Engineering. The program leads to a Professional Doctorate in Engineering (PDEng) degree.

Project description Thermo Fisher Scientific Transmission Electron Microscopes (TEMs) are used to reveal structures at sub-nm scale in a wide variety of applications. For example, TEMs help semiconductor manufacturers to provide faster, smaller, cheaper, and more power efficient chips. Furthermore, they enable researchers in academic and corporate labs to continuously push frontiers of science in order to provide the world with new medicines or cleaner energy.

The design project will be performed at Thermo Fisher Scientific’s research facility in Eindhoven and is centered around accelerating TEMs by the development of image/vision-based control. Advanced real-time image analysis on GPU and/or FPGA platforms should be performed to improve system parameters quickly (low latency and many updates per second). The necessary advanced and fast image analysis will be using state-of-the-art machine learning (ML) and deep learning (DL) algorithms. This will lead to a shorter time to result and higher quality images and large 3D reconstructions; which in turn will undoubtedly lead to new possibilities or discoveries in life sciences, material sciences, and semiconductor industries.

The project is spread over two years and aims to develop your design engineers' abilities. In the project, a specific design objective must be reached within a restricted period of time and with limited means. In accordance with the supervising professor the candidate will be given the opportunity to gather specialized knowledge for the design project already in the first year of your Traineeship. You will be coached by experienced design engineers from industry and/or by TU/e staff with relevant design experience. You will acquire independence and learn to make choices and work well in a project-based manner. You will learn to obtain a high-level system overview and play an important role in architectural choices for future generation TEMs.

How to Apply?

Application Method: Online Application
Ref. No.: V36.5597

Application Procedure

If interested, please use 'apply now'-button at the top of this page. You should upload the following:

  • A letter of motivation and portfolio with relevant work.
  • A cover letter explaining your motivation and suitability for the position.
  • A detailed Curriculum Vitae (including a list of publications and key achievements in research project(s));
  • Contact information of two references.
  • Copies of diplomas with course grades.
  • Results of your IELTS test.

Candidates will be selected based on graduation mark and proficiency at university including consideration of the reputation of the university, relevant experience and skills, writing skills and publications, work experience as well as performance in relevant modeling exercises and interviews.

Please keep in mind; you can upload only 5 documents up to 2 MB each.

We do not respond to applications that are sent to us in a different way.

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

About the Department/Section/Group

Eindhoven University of Technology (TU/e) is a world-leading research university specializing in engineering science & technology. The Department of Electrical Engineering is responsible for research and education in Electrical Engineering. The discipline covers technologies and electrical phenomena involved in computer engineering, information processing, energy transfer and telecommunication. The department strives for societal relevance through an emphasis on the fields of smart sustainable systems, the connected world and care & cure. The TU/e is the world’s best-performing research university in terms of research cooperation with industry(#1 since 2009).

The Electronic Systems group consists of seven full professors, ten assistant professors, several postdocs, about 50 PDEng and PhD candidates and support staff. The ES group is world-renowned for its design automation and embedded systems research. It is our ambition to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. The trajectories are constructive and lead to high quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, and cost). Design trajectories for applications that have strict real-time requirements and stringent power constraints are an explicit focus point of the group.

About Thermo Fisher Scientific Thermo Fisher Scientific is the world leader in serving science, with revenues of more than$20 billion and approximately 70,000 employees globally. Our mission is to enable our customers to make the world healthier, cleaner and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity. Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services – we offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive services.

About the Employer:

Note or Other details

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Contact details

  • For more information about the project and any informal enquiries, please contact dr.ir. S. Stuijk ([email protected]).
  • For more information on working at the TU/e and employment conditions, click here or contact Tanja van Waterschoot, HR Officer ([email protected]).

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