PostDoc In Geometric Learning & Differential Geometry

  • Eindhoven, Noord-Brabant
  • € 4.241-5.538 per maand
  • Tijdelijk
  • Voltijds
  • 5 uren geleden
Offer DescriptionWe are looking for a Post-doctoral researcher at the Department of Mathematics & Computer Science of the Eindhoven University of Technology in the field of “Geometric Learning for Image Analysis”.The two year postdoc position is part of VICI Project (VI.C. 202-031, PI: R.Duits) and will preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning.Information
As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis" your main tasks are:
  • Carry out research in the research group Geometric Learning and Differential Geometry within the Centre for Analysis, Scientific Computing and Applications (CASA) of the Department of Mathematics and Computer Science at TUe, supervised by principal investigator Remco Duits,
  • Publish research results in renowned journals and conferences, focusing on:
A) Equivariant, PDE-based image processing and machine learning for industrial image analysis (in thesemiconductor industry),
B) Automatic geometric vessel tree tracking and analysis in medical image analysis applications, * Assist in the supervision of PhD and MSc students and collaborate with (health) tech partners,
  • Report on the results in project deliverables, papers and conference contributions.
As the VICI-project had a successful mid-term report tackling the milestones with much output there is freedom for creative new adjacent research directions. This position is primarily a research position, though teaching experience can be obtained on a voluntary basis.Where to apply WebsiteRequirementsSpecific RequirementsA PhD degree in applied mathematics, computer science, electrical engineering, mechanical engineering,or applied physics.•A research oriented attitude with affinity for advanced formal mathematics (analysis/ geometry), applieddifferential geometry and machine learning;•Solid publication record in image analysis, scientific computing or machine learning.•Knowledge and practical experience in at least 3 of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent in spoken and written English. Good communication skills.Additional InformationBenefitsA meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • Full-time employment for 2 years.
  • Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. € 4,241 max. € 5,538).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs on general skills, didactics and topics related to research and valorization.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • Partially paid parental leave and an allowance for commuting, working from home and internet costs.
  • A
that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops. * A
is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.Selection processWe invite you to submit a complete application using the apply-button. 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 look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.Additional commentsDo you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Remco Duits, Head of the Geometric Learning and Differential Geometry Group in the CASA cluster of the Department of Mathematics & Computer Science, or +31 624983108 and Secretary Enna van Dijk, or +31402474760.Visit our website for more information about the or the . You can also contact .Are you inspired and would like to know more about working at TU/e? Please visit our Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute TU/e Country Netherlands City Eindhoven Postal Code 5612AZ Street De Zaale GeofieldContact CityEindhoven WebsiteStreetDe Rondom 70 Postal Code5612 APSTATUS: EXPIREDShare this page

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