EMBL ARISE2 Fellowship Programme
European Molecular Biology Laboratory (EMBL)
Application deadline: 30 Sep 2026
Applications are now open for the ARISE2 Fellowship Programme!
The EMBL ARISE2 Fellowship Programme, funded by Marie Skłodowska-Curie Actions, is a unique opportunity for researchers with a STEM background to develop the skills needed to become leaders in research infrastructures. This programme supports scientists in driving innovation in Life Sciences through cutting-edge technology development and service provision. To learn more about the programme please visit the website.
Coordinated in collaboration with leading partner organisations across Europe, the programme provides hands-on training and mentorship to prepare researchers for key roles in research infrastructure management.
If you are looking to advance your career in this field, apply now! Deadline is: 30 September.
The life sciences increasingly depend on advanced services offered by core facilities, synchrotrons, data services and other research infrastructures, creating a need for highly-skilled professionals who can operate, improve and expand these scientific services.
Your role
ARISE2 fellows will:
- Develop a method or development within EMBL’s areas of expertise, with potential for broader service application
- Receive structured training in the operation and management of research infrastructures, including service provision, project and staff management, innovation, science policy, FAIR principals and AI.
- Build professional networks through secondment and job shadowing at EMBL and ARISE2 partner organisations
- ARISE2 projects should align with EMBL’s research areas—such as genomics, structural biology, imaging, cell and tissue biology, environmental research, and translational applications—while contributing to the development of services that support the wider life science community.
You may develop projects in fields including:
- Data and computational science: Bioinformatics, AI/ML, computational modelling, software engineering, data management, data science.
- Imaging and optical engineering: Imaging and image analysis, optical engineering, detector development, microscopy, X-ray optics
- Structural Biology and Mechanical Engineering: Automation, high-precision mechanics, microfluidics, robotics, X-ray crystallography
- Biotechnology: (Bio)chemical engineering, chemistry or chemical biology, omics technologies.
For applications and the full job description, see here.
