Postdoc: deep learning for super-resolution microscopy

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an 

 

Postdoc: deep learning for super-resolution microscopy 

74 Max Perutz Labs  

Job vacancy starting:   | Working hours:  40,00  | Classification CBA: §48 VwGr. B1 lit. b (postdoc) 

Limited contract until: 

Job ID: 2293

The Ries lab is developing super-resolution microscopy methods for structural cell biology. In a WWTF-funded project we will develop a new deep learning-based approach to reconstruct a movie of a cellular process from tens of thousands of snapshots taken with high-throughput super-resolution microscopy and are looking for a Postdoctoral Researcher with a background in machine learning.

 

Your personal sphere of play:

The overall aim of the project is to develop a computational approach to reconstruct the structure and dynamics of a cellular process at nanometer resolution from tens of thousands of images measured in fixed cells. We will develop this approach on the example of endocytosis, an essential process by which cells take up molecules, but this method will then be applicable to many other cellular processes. You will have abundant data readily available and work closely together with a biologist in the group who will capture new data on demand, and with a computational scientist from our partner lab, the Lab of Jakob Macke in Tübingen. This project will extend previous work based on maximum likelihood estimation (https://doi.org/10.1038/s41592-022-01676-z).

 

This position is limited to a 3 year contract with the possibility of extension.

 

We are looking for a talented, highly motivated postdoctoral scientist who is excited to develop computational approaches with wide applicability in the life sciences. You should hold a PhD degree in computer science or physics and should have a strong background in machine learning, preferably deep learning. Experience in computer vision or image analysis, especially microscopy images, is highly appreciated. Training and supervision will be provided throughout the project, but we also expect a high level of drive and independence. Excellent spoken and written English skills are required.

 

 

 

 

Your future tasks:

Active participation in research, teaching & administration, which means:

  • You are involved in research projects and scientific studies.
  • You publish internationally and give lectures.
  • You supervise your students.
  • You participate in evaluation measures and in quality assurance.
  • You take on administrative tasks in research, teaching and administration.

This is part of your personality: 

•    You hold a PhD degree in in computer science or physics
•    You should have a strong background in machine learning, preferably deep learning
•    Experience in research management and in leading project staff

•    Excellent scientific track record
•    Excellent spoken and written English skills
•    Team player and high social/communicative skills

What we offer:

Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement).

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fair salary: The basic salary of EUR 4.752,30 14 times/year increases if we can credit professional experience.

Equal opportunities for everyone: We look forward to diverse personalities in the team!

 

About the Max Perutz Labs

The successful applicant will work in a stimulating scientific environment, the Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University of Vienna and the Medical University of Vienna to provide an environment for excellent, internationally recognized research and education in the field of Molecular Biology. Dedicated to a mechanistic understanding of fundamental biomedical processes, scientists at the Max Perutz Labs aim to link breakthroughs in basic research to advances in human health. The Max Perutz Labs are located at the Vienna BioCenter, one of Europe’s hotspots for Life Sciences, and host 44 research groups, involving around 400 scientists and staff from more than 40 nations.
 

It is that easy to apply:

  • With your scientific curriculum vitae / letter of intent
  • With your list of publications
  • With a concise description of your research experience
  • Doctoral Degree 
  • Contact details of three persons who could provide reference letters
  • Via our job portal / apply button - for further questions you can contact jonas.ries@univie.ac.at

 

 

Interviews will be held on a rolling basis and as soon as a suitable candidate is found, the position will be filled.

 

Further information about the Ries lab at:

https://www.maxperutzlabs.ac.at/research/research-groups/ries
https://rieslab.de

 

If you have any questions, please contact:

Jonas Ries  

jonas.ries@univie.ac.at

 

We look forward to new personalities in our team! 
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

 

University of Vienna. Space for personalities. Since 1365.

 

Data protection
​Application deadline: 07/04/2024 

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