Postdoctoral: Molecular Structure Interpretation: The Max Planck Society is seeking a highly motivated and innovative researcher to join the ERC-funded Proof of Concept Project “Virgil.” The position involves designing and testing GPU-accelerated software for interpreting Scanning Probe Microscopy (SPM) images into 3D molecular structures. With access to cutting-edge computational resources and opportunities for collaboration with leading researchers in microscopy and machine learning, this position offers a unique opportunity to contribute to the forefront of computational chemistry and structural biology.
Postdoctoral: GPU-Accelerated Program Developer for Molecular Structure Interpretation
Designation
Research-Innovation Scientist
Job Details
| Field | Details |
|---|---|
| Project Title | GPU-Accelerated Software Development for SPM-informed 3D Molecular Structures |
| Funding | ERC Proof of Concept Project “Virgil” |
| Contract Duration | 1.5 years (Full-time) |
| Salary and Benefits | As per German TVöD standards |
| Start Date | Rolling basis (Applications are accepted until the position is filled) |
| Research Areas | Computational chemistry, biomolecular structures, GPU computing, image segmentation, molecular dynamics |
| Location | Nanoscale Science Department, Max Planck Institute, Germany |
Research Area
The major focus of this research is to develop GPU-accelerated programs that extract and interpret 3D molecular structures from SPM images. This involves leveraging advanced computational approaches such as parallel computing, molecular dynamics, and Bayesian statistical models.
Interdisciplinary collaboration with experts in scanning probe microscopy, electron microscopy (EM), and machine learning will enable the successful creation of a product with potential commercial applications.
Eligibility/Qualification
Essential:
- PhD in Physics, Chemistry, Structural Biology, or related field.
(Applicants with Bachelor’s/Master’s degrees and exceptional qualifications will also be considered.) - Strong experience in:
- Software design
- Python programming
- CUDA coding
- Molecular dynamics calculations
- Model building
Additional Skills Preferred:
- Knowledge of physical chemistry, Bayesian statistics, machine learning, computational biology, scanning probe microscopy, or ab initio calculations.
- Team-oriented and articulate in English (both oral and written).
Job Description
The candidate will:
- Develop software: Design, test, and implement GPU-accelerated programs capable of interpreting single-molecule SPM images into 3D molecular structures.
- Build modeling frameworks for analyzing large sets of biological and chemical data.
- Collaborate: Work closely with leading European industry experts in electron microscopy and machine learning.
- Use advanced computational resources: Leverage CPU/GPU supercomputers provided by the Max Planck Society.
- Participate in professional growth: Receive mentorship in proposal writing, project management, and attending networking workshops/conferences.
How to Apply
Interested candidates are invited to apply via email by sending the following documents to Dr. Kelvin Anggara (k.anggara@fkf.mpg.de) with the subject line: Virgil_PDF:
- A one-page cover letter in PDF outlining your suitability for the position and how it aligns with your career goals.
- An updated CV including publications, research experience, and contact details for two referees (PDF format).
- A technical portfolio showcasing your work (e.g., past projects, software demos, code samples via GitHub or PDF).
Last Date to Apply
Applications will be reviewed starting March 2025 and will remain open until the position is filled.
About Us:
The Max Planck Society is committed to fostering diversity and equal opportunity in its workforce. Applications from women, underrepresented groups, and individuals with disabilities are strongly encouraged.
Take this opportunity to lead cutting-edge research and innovation in computational molecular science with the goals of developing a groundbreaking product and contributing to the future of structural biology!
