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You will be working in a multicultural and multi-disciplinary group, where junior and senior scientists collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The Computational mOdelling of NanosCalE and bioPhysical sysTems – (CONCEPT) Research Unit is coordinated by Dr. Walter Rocchia, who has extensive experience in Biophysical Modelling and Computational Sciences. The research focuses on development in the fields of molecular modeling and simulation of systems at the nanoscale, with relevant applications to health and biomedical sciences, especially protein design.
Job Responsibility
Design, development, and implementation of novel computational methods at the interface between computational biophysics and machine learning, with a strong focus on scientific programming and algorithm development
Development and implementation of enhanced sampling techniques to accelerate molecular dynamics simulations of biologically relevant processes, including integration into existing simulation frameworks and custom software tools
Development, optimization, and application of computational methods for the description, characterization, and prediction of protein–protein and protein–nucleic acid interactions, with emphasis on robust, efficient, and reusable code
Development and application of coarse-grained modeling approaches for the mesoscale description of biomolecular systems, including the creation and maintenance of computational workflows and simulation software
Requirements
A PhD in Physics, Engineering, Computational Chemistry, Biophysics, or a closely related discipline
Strong programming skills in languages such as Python, C/C++, or similar, with proven experience in scientific software development, code optimization, and version control (e.g., Git)
Demonstrated experience with high-performance computing (HPC) environments, e.g. queues handling
Documented experience in algorithm development and biomolecular simulations (e.g., molecular dynamics, enhanced sampling methods)
A strong and relevant publication record in peer-reviewed scientific journals
Excellent command of spoken and written English
Nice to have
Knowledge of machine learning methods and frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and their application to molecular sciences
Experience applying computational methods to biomedical and health-related challenges, including drug discovery or molecular diagnostics
Familiarity with pharmaceutical and industrial applications of computational modeling and simulation
Knowledge of geometric processing, structural bioinformatics, or shape-based analysis of biomolecules
Strong problem-solving attitude, with creativity and scientific curiosity
Ability to work effectively in a challenging, international, and interdisciplinary environment
Capacity to work both independently and collaboratively within diverse research teams
Excellent analytical reasoning skills and a demonstrated growth mindset toward learning new methods and technologies
What we offer
Private health care coverage depending on your role and contract
Candidates from abroad or Italian citizens who have carried scientific research activity permanently abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years