Postdoc: Deep Learning for Super-resolution

vor 1 Woche


Wien, Österreich Universität Wien Vollzeit

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**:
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

Further information about the Ries lab at:
**If you have any questions, please contact**:
Jonas Ries

We look forward to new personalities in our team

**University of Vienna. Space for personalities. Since 1365.**:
Data protection
**Application deadline**: 02/29/2024

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