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Postdoctoral Researcher Vacancy in Data Mining Group, Eindhoven, The Netherlands

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

Eindhoven University of Technology (TU/e) invites applications for a Postdoctoral Researcher fellow to take on this challenge and make machine learning algorithms learn faster in industry applications to join the Data Mining Group at the Mathematics and Computer Science department, The Netherlands – Dec 2021

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General Info

Position: Postdoctoral Researcher
No. of Positions: 1
Research Field: ,
Joining Date: ASAP
Contract Period: 1 Year
Salary: According to Standard Norms

Workplace:
Data Mining Group
Mathematics and Computer Science department
Eindhoven University of Technology (TU/e)
Eindhoven,

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Qualification Details

We are looking for a motivated candidate with:

  • A doctoral degree in Computer Science (or similar)
  • Advanced knowledge of machine learning techniques
  • Strong mathematical and analytical skills
  • Excellent programming skills, Experience with open source development is an asset
  • Excellent communication skills in spoken and written English
  • Creative free thinking, perseverance.

Responsibilities/Job Description

We are seeking a highly creative and motivated postdoctoral fellow to join the Data Mining Group at the Eindhoven University of Technology. The candidate will be working in collaboration with Joaquin Vanschoren and his team develop new meta-learning and continual learning techniques that work well in semiconductor inspection tasks.

Current deep learning models are heavily used in real-world inspection scenarios. Since labeled data is often scarce, continual learning is being explored in order to be able to learn new tasks faster based on other similar tasks. A common challenge here is to quickly adapt models to newt asks without destroying what was learned before (also known as catastrophic forgetting). The goal of this project is to use approaches inspired by continual learning, curriculum learning, and interactive learning to reduce interference to a level acceptable for real-world industry applications.

Secondly, since some semiconductor defects are very rare, we aim to include prior knowledge, as well as on Few Shot Learning, Meta/Automated Learning, NAS, and related techniques, in order to identify rare defects based on very few examples, on combination with data augmentation techniques. This Ph.D. position provides the ideal conditions for tackling these challenges. It is a collaboration with ASM Pacific, a leading company in the field of semiconductor manufacturing equipment, which provides the required infrastructure for collecting data and testing models in the real world

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: V32.5295
(If any, use it in the necessary place)

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Documents Required

We invite you to submit a complete application by using the 'apply now'-button on this page.The application should include a:

  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae, including a list of your publications and the contact information of three references.
  • List of five self-selected ‘best publications’.

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

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files.

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

Mathematics and Computer Science department

The department provides education at BSc, MSc, PhD and PDEng levels. Besides its own core tasks towards education and research, the department also provides service education for other TU/e departments. Research in thedepartment concentrates on applied mathematics and the design and analysis of software systems. Knowledge valorization takes place through the Project Development Office (PDO). In the education and research areas the department closely collaborates with other universities and companies in both national and international partnerships. The department has approximately 140 tenured staff members, 200 PhD students/postdocs/PDEng trainees and almost 1000 Bachelor/Master students. The department is leading the Data Science Center Eindhoven (DSC/e). In DSC/e 28 research groups join forces to create a world leading research and education program in data science.

About the Employer: Eindhoven University of Technology (TU/e)

Conditions of Employment

  • A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
  • A full-time employment for 1 year.
  • You will have free access to high-quality training programs on general skills, didactics and topics related to research and valorization.
  • A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
  • A broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, and savings schemes).
  • Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

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Contact details

Do you recognize yourself in this profile and would you like to know more? Please contactJoaquin Vanschoren, email j.vanschoren[at]tue.nl.

For information about terms of employment, click here or contact HRServices.MCS[at]tue.nl.

Please visit www.tue.nl/jobs to find out more about working at TU/e!

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