Software Project Manager - Supra-molecular Simulations (Fixed Term)

Applications are invited for a Software Project Manager position in the research group of Dr. François Nédélec at the Sainsbury Laboratory, University of Cambridge (SLCU). This role is part of the ERC Synergy project BioMecaNet, in collaboration with Andrea Musacchio's team (MPI of Molecular Physiology, Dortmund, DE) and Thomas Surrey's team (CRG, Barcelona, SP).

The successful candidate will work on developing innovative software tools to simulate cellular and molecular processes key to cell division, particularly mitotic spindle assembly and chromosome segregation. This project uses advanced mathematical models and computational techniques to analyze cytoskeletal mechanics and cell cycle processes.

Primary work will include extending Cytosim, a widely-used, cross-platform open-source simulation engine for cytoskeleton research (www.cytosim.org). Cytosim is designed to handle large systems of flexible filaments and associated proteins, like molecular motors, and is actively maintained by the PI with contributions from other groups worldwide. It features simulation capabilities and an interactive 3D graphical mode.

Key Responsibilities:

• Develop and maintain robust, high-performance software enabling cellular-scale simulations.
• Upgrade the graphical engine and desktop OpenGL code to OpenGL ES 2.0.
• Modernize Cytosim's GUI using GLFW and ImGUI or a similar solution.
• Adapt Cytosim for tablet/phone deployment and browser use via WebAssembly.
• Provide user support and potentially develop a Wiki for documentation.
• Assist in organizing annual, week-long training courses.
• Collaborate with biologists to translate biological processes into computational models.
• Contribute to algorithm development for large-scale simulations, especially parallelization.
• Create software solutions (such as games or demos) for outreach activities.

Qualifications and Skills:

• Bachelor's or Master's degree in computer science, software engineering, computational biology, or a related field; PhD candidates are also welcome to apply.
• Proficiency in C++ and Python; knowledge of OpenGL and computer graphics is advantageous.
• Strong problem-solving skills, with familiarity in mechanics or stochastic modeling algorithms in biology.
• Experience in mathematical modeling, scientific computing, systems biology, or AI is advantageous.
• Excellent communication skills and the ability to collaborate effectively in an interdisciplinary team.

This position offers exciting opportunities for collaboration and the chance to contribute directly to advancing biological understanding through software development. SLCU provides a supportive and collaborative environment, along with various family-friendly benefits and professional development resources.

To apply, please upload:

• A detailed CV with a list of publications (if applicable)
• A supporting statement
• Contact information for three referees

The funding for this post is available for two years or until 30 June 2027, whichever is the sooner.

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. 

Scientific enquiries apart from the formal application should be directed to Dr. François Nédélec at  Francois.Nedelec@slcu.cam.ac.uk.

For questions regarding the application process,  please email HR@slcu.cam.ac.uk

Please quote reference PT45752 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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