Our mission
The newly established Institute for Tissue Engineering and Regenerative Medicine (iTERM) at Helmholtz Munich develops and implements 3D imaging technologies to be able to generate the highest resolution views of whole mouse bodies and human organs.
At iTERM, we bring together cutting-edge science from biology, chemistry, engineering, and computer science to build unprecedented analysis pipelines for a large variety of biomedical research questions. Overall, this approach provides a holistic image of interconnected biological systems to comprehend the diseases in an unbiased way. We also develop deep learning-based algorithms (AI) to analyze this large imaging data in a robust and unbiased way.
Our research received high attention from high-profile scientific journals (Pan Cai…Ertürk 2016 Nature Methods; Cai Pan…Ertürk Nature Neuroscience 2018; Pan Schoppe…Ertürk Cell 2019, Zhao…Ertürk Cell 2020, Todorov Paetzold…Ertürk, Nature Methods 2020) and media including New York Times, Wall Street Journal and Süddeutsche Zeitung.
At iTERM, you can contribute together with leading researchers to the investigation of the development, prevention and treatment of devastating diseases including neurodegeneration and cancer. In order to further promote your professional development, we offer extensive and targeted research training and career programmes. We support the reconciliation between work and private life with flexible working time models, occupational health management, a day care facility for children, a childcare subsidy, Elder Care, as well as other counseling and support services.
iTERM is growing rapidly and to further strengthen the setup of our young institute we are looking for a highly motivated individuals. We care about diversity, and welcome applications from any background.
We offer:
- A family-like environment with care and trust
- An innovative, well-equipped and scientifically stimulating workplace
- Being part of a new Helmholtz Institute and to shape its future
- Gaining insight into cutting edge technologies from biotechnology to artificial intelligence
- Refining your personal development with further training opportunities e.g., in leadership
Position 1: Scientific Manager (Postdoc+ level)
The iTERM science management team provides comprehensive support enable the scientific staff to excel in their research. The successful candidate will manage internal projects as well as projects funded by German, European and International agencies. This includes strategic planning, human resource management, scientific coordination and monitoring of scientific progress as well as the preparation of financial and scientific reports. You will work at the interface of the iTERM scientists with the central offices at Helmholtz, external scientific and industrial partners, as well as national and international funding agencies. You will ensure through strategic planning that the quality, regulatory, and contractual requirements are met. Furthermore, you will organize and attend scientific project meetings and workshops in Munich and abroad, and support our public relations work.
Your Profile:
- Prior experience
- PhD degree in natural sciences, or comparable qualification / professional experience
- Extensive experience in scientific management with a focus on research fund administration and finances and coordination of interdisciplinary research units and pharmaceutical companies
- Strong experience in coordination of multi-institutional research platforms and of joint studies between universities and research centres (non-university)
- Experience with independent writing of scientific texts (manuscripts, grant applications)
- Way of working
- Flexible, solution-oriented and independent way of working
- Collaborative spirit and ability to work on a highly international and interdisciplinary team
- Strong organizational and management skills
- Further skills
- Excellent communication and presentation skills
- Excellent command of German and English in spoken and written
- Solid IT skills (MS Office, reference manager, research tools, funding agency portals etc.)
- Experience in project and quality management (GLP, GCCP, GMP) as well as in editorial work are advantageous.
- Business and accounting experience are an advantage
Please email your applications with your letter of motivation, CV and academic transcripts of records until 30.06.2020. Karen.biniossek@helmholtz-muenchen.de
Position 2: Scientist in nanotechnology (Master, PhD, and Postdoc levels)
As drug development and gene editing tools develop, we are more in need of cellular-level precision. However, currently, there are no technologies to monitor such tools at the cell level in intact mammalian tissues. We recently overcame this by tissue clearing and deep learning approaches. Now, we apply our methods to develop high-level precision nanotechnology for drug and gene editing tools delivery.
- Prior experience
- Extensive experience in chemistry, biochemistry
- Extensive experience and knowledge in nanoparticles, in particular DNA Origami is plus
- Experiences in molecular biology methods (e.g., gel electrophoresis), atomic force microscopy or mass spectrometry could be advantageous
- Experience with independent writing of scientific texts (manuscripts, grant applications)
- Outstanding academic track records, including publications respected peer-reviewed journals, are expected.
- Way of working
- Flexible, solution-oriented and independent way of working
- Collaborative spirit and ability to work on a highly international and interdisciplinary team
- Strong organizational and management skills
- Further skills
- Excellent communication and presentation skills
- Excellent command of English in spoken and written
- Solid IT skills (MS Office, reference manager, research tools, funding agency portals, etc.)
Please email your applications with your letter of motivation, CV and contact info of at least 3 referees to Karen.biniossek@helmholtz-muenchen.de
Position 3: Computer Scientist in AI – Deep learning (Postdoc level)
We started building up the Artificial Intelligence group in our institute in 2018 and have grown to a team size of 5 PhD students by now. We are now looking to add an experienced deep learning post doc to drive our ambitious projects together with the existing team. Your main tasks will be to develop deep learning strategies for biomedical questions and to keep on developing the Artifical Intelligence group. While most data is image-based, you will also get the opportunity to apply deep learning beyond this domain (e.g. on proteomics). You can leverage the existing team and existing cooperations with Prof Menze (TUM) and Prof Theis (Helmholtz), renowned experts in deep learning for such biomedical data.
Your Profile:
- Prior experience
- Extensive experience in applied and theoretical deep learning
- Experience in computer vision / image processing and general data science
- Experience in coordination of interdisciplinary research cooperations – you will work at the interface of deep learning with biology, chemistry, and optics
- Experience with independent writing of scientific texts (manuscripts, grant applications)
- Outstanding academic track record, including publications respected peer-reviewed journals (or renowned conferences), are expected.
- Way of working
- Flexible, solution-oriented and independent way of working
- Collaborative spirit and ability to work on a highly international and interdisciplinary team
- Strong organizational and management skills – you will be transitioning into a role managing a team of 4-5 PhD students
- Further skills
- Excellent communication and presentation skills
- Excellent command of English in spoken and written
- German skills of advantage
Please email your applications with your letter of motivation, CV and contact info of at least 3 referees to Karen.biniossek@helmholtz-muenchen.de