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Technische Universität Dresden

Careers in Computational Chemistry for PhD Graduates Technische Universität Dresden in Germany

Degree Level

not provided

Field of study

Computer Science

Funding

Full funding available
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Country

Germany

University

Technische Universität Dresden

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Keywords

Computer Science
Chemistry
Materials Science
Computational Chemistry
Molecular Dynamics
Power Generation
Python Programming
Biopharmaceutics
Dft
Physics
Machine learning

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About this position

This post is an informational career overview for computational chemistry, not a live PhD, postdoc, or master’s vacancy.

The author, Puja Singhvi, a computational chemist at Technische Universität Dresden, outlines the main career directions available after a PhD in computational chemistry: academia and national labs, pharma and biotech, materials science and energy, and tech/molecular AI.

Research areas and tools mentioned include DFT, TD-DFT, computational drug discovery, free energy perturbation, molecular dynamics, protein-ligand binding, battery materials, heterogeneous catalysis, photovoltaics, semiconductor design, ML potential development, and quantum computing software. Software and skills highlighted include Python, GROMACS, AMBER, VASP, CP2K, high-throughput screening, scientific writing, critical validation of results, and cross-disciplinary collaboration.

The post emphasizes that a computational chemistry PhD can lead to roles in academia, pharma, biotech, materials/energy companies, software vendors, and AI-focused research teams. It does not announce funding, eligibility criteria, deadlines, or an application portal.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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