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обновлено 13 минут назад

Postdoc In-Situ Cryo-ET

3 546 - 5 538
Тип работы
fulltime
Английский
b2
Страна
Netherlands
Релокация
Netherlands

Описание вакансии

Текст:
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TL;DR

Postdoc In-Situ Cryo-ET (cryo-ET/AI): Develop and apply integrated workflows for in situ cryogenic electron tomography, with an accent on automating cellular targeting and lamella preparation plus AI-facilitated identification of regions of interest. Focus on guiding site-specific lamella preparation, acquiring high-quality cryo-ET data, and building computational methods for contextual interpretation of cellular tomograms.

Location: Relocation to the Netherlands required (home base: Jakobi Lab, hirify.global | Kavli Institute of Nanoscience)

Salary: €3546–€5538 (per month, per Collective Labour Agreement for Dutch Universities)

Company

hirify.global is a multidisciplinary research and education institution with state-of-the-art infrastructure for cryoEM/ET and high-performance computing.

What you will do

  • Develop integrated, streamlined workflows for in situ cryogenic electron tomography.
  • Automate cellular targeting and lamella preparation of frozen-hydrated biological specimens on a unique instrument.
  • Establish AI-facilitated approaches to identify regions of interest and guide site-specific lamella preparation.
  • Acquire high-quality cryo-ET data and apply the workflows to structural cell biology questions in bacterial motility and cell-autonomous immunity.
  • Contribute to computational methods for contextual interpretation of cellular tomograms.
  • Collaborate closely with experimentalists and computational researchers to advance methodological capabilities.

Requirements

  • PhD in (bio)physics, structural biology, or a related field.
  • Demonstrated experience with FIB-SEM workflows and cryogenic electron tomography, including correlative light and electron microscopy.
  • Experience with image analysis, ideally in the context of electron microscopy.
  • Strong computational and programming skills (e.g., Python, Julia).
  • Interest in or experience with machine learning approaches for scientific data analysis.
  • Clear and effective communication in English in an international research environment.

Nice to have

  • Experience with cryo-EM/cryo-ET data analysis (tilt series alignment, 2D/3D template matching, subtomogram averaging).
  • Experience handling, culturing, and manipulating bacterial and mammalian cells.
  • Familiarity with scientific software and instrument development.
  • Peer-reviewed publications demonstrating methodological or computational contributions.

Culture & Benefits

  • 2-year temporary contract with external finance.
  • 38 hours per week, flexible working week.
  • Excellent pension scheme via ABP and an individual employment package option each year.
  • 232 leave hours per year (at 38 hours), with ability to buy/sell additional leave hours.
  • Partially paid parental leave and vitality program support.
  • Opportunities for education, training, and courses; mentoring opportunities for undergraduate and graduate students.

Hiring process

  • Submit CV and motivational letter by 31 July 2026.
  • Selection includes a knowledge-security risk assessment during the final stages of the process.
  • Contact Arjen Jakobi for additional vacancy or selection procedure information (include the vacancy number in the subject line).