PhD Position in Physics / Microscopy – Scattering Polarimetry for Multi-Modal Imaging of Brain Fiber ArchitectureForschungszentrum Jülich GmbH • Institute of Neuroscience and Medicine (INM) • Jülich bei Köln

Germany Universities

Germany

June 13, 2021

Description

Open Positions 1

Time Span as soon as possible for 3 years Application Deadline 13 Jun 2021 Financing yes Type of Position

  • PhD - Doctoral Programme
  • Field of Research

  • Mathematics / Natural Sciences
  • Engineering
  • Subjects experimental physics Description Conducting research for a changing society: This is what drives us at Forschungs­zentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand societal challenges of our time and conduct research into the possibilities of a digitized society, a climate- friendly energy system, and a resource-efficient economy. Work together with around 6,800 employees in one of Europe's biggest research centres and help us to shape change!

    The Institute of Neuroscience and Medicine (INM) is investigating the organization of the human brain on its various spatial and temporal scales. The Institute of Neuroscience and Medicine – Structural and Functional Organization of the Brain (INM-1) is developing a 3D model of the human brain with the highest spatial resolution, integrating cytoarchitecture, connectivity, molecular organization as well as genetic and functional information. The department “Fiber Architecture” investigates nerve fiber pathways and their connections in the brain. With 3D-Polarized Light Imaging (3D-PLI), a powerful microscopy technique has been established that allows the reconstruction of three-dimensional nerve fiber tracts in whole brain sections. A new imaging technique, Scattered Light Imaging (SLI), has been added just recently: By illuminating brain sections from different angles and measuring the scattered light, crossing nerve fibers can be reconstructed with micrometer resolution.

    We are offering a

    PhD Position in Physics / Microscopy – Scattering Polarimetry for Multi-Modal Imaging of Brain Fiber Architecture

    Your Job: The aim of this project is to co-develop and build a new Scattering Polarimeter that combines polarization (3D-PLI) and scattering (SLI) measurements in an integrated setup and enables fully automated, multi-modal imaging of brain tissue samples. To increase the measurement speed, the Scattering Polarimeter will be realized without moving elements, using liquid crystal retarders – dedicated optical elements that allow the generation of different polarization states by applying a voltage. Apart from 3D-PLI and SLI measurements, the setup allows to perform Müller polarimetry, making extensive studies on the optical properties of the tissue sample possible. Your tasks include:

    - Co-development and construction of the new Scattering Polarimeter - Testing and characterization of the optical components, including detailed error analysis - Integration of optical components in combined setup, automation, and measurement control - Optimization and further development of existing measurement techniques and analysis tools - Realization of simultaneous measurements of 3D-PLI and SLI on various brain tissue samples - Evaluation of multi-modal imaging data, generation of combined parameter maps, cross-validation

    Your Profile: - Excellent university degree (Master) in Physics or a similar discipline - Good knowledge of optics, microscopy, data analysis, and error calculation - Experience in experimental work and interest in interdisciplinary research - Solid programming skills, preferably in Python or C / C++ - Excellent organizational skills - Ability to work independently and self-driven in a team - Good communication skills and high-quality writing in English

    Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change!

    We offer ideal conditions for you to complete your doctoral degree:

    - The opportunity to contribute to the development of cutting-edge neuroimaging techniques - Work in a highly motivated team with other physicists, engineers, and software developers, and an interdisciplinary environment in one of the largest research centers in Europe, located between the cities of Bonn, Cologne, Düsseldorf, and Aachen - Outstanding scientific and technical infrastructure - Continuous scientific mentoring by your scientific advisor - A structured doctoral degree program for you and your supervisors with a comprehensive further training and networking package on our doctoral researchers' platform JuDocs - Targeted services for international employees, e.g. through our International Advisory Service

    The position is initially for a fixed term of 3 years. Pay will be in line with 65% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60% of a monthly salary as special payment (“Christmas bonus”). Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is available at www. fz- juelich.de/gp/CareersDocs.

    Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.

    We also welcome applications from disabled persons.

    We look forward to receiving your application until 13.06.2021 via our Online Recruitment System: https: // www. fz- juelich.de/SharedDocs/Stellenangebote/common/dna/2021D-068-EN- INM-1.html?nn=718260

    Questions about the vacancy?

    Get in touch with us by using our contact form: https: // www. fz- juelich.de/portal/EN/Careers/JobKontakt/node.html?cmsjobid=2021D-068

    Please note that for technical reasons we cannot accept applications via email.

    www. fz-juelich.de

    Working Language

  • English
  • German
  • Language of Dissertation

  • English
  • German
  • Required Documents

  • CV
  • Reports, certificates
  • Letter of Motivation
  • List of Publication
  • More Information https: // www. fz- juelich.de/SharedDocs/Stellenangebote/common/dna/2021D-068-EN- INM-1.html?nn=718260

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