Research Assistant Professor in Machine learning for …, Huaraz

Research Assistant Professor in Machine Learning for Crystallographic Method Development

We are looking for a highly motivated and dynamic researcher for a 46‑month position to start as soon as possible. This position will be part of the Research Project “Deep learning Accelerated Crystallographic Pipeline” financed by the Novo Nordisk Foundation and supervised by Associate Professor Anders Østergaard Madsen.

The Department of Pharmacy at the University of Copenhagen is devoted to research and research‑based teaching in drug formulation and manufacturing, drug‑related analytical and physical chemistry, drug metabolism, chemical toxicology and medicines use. The department plays a key role in advancing the pharmaceutical sciences in Denmark and internationally.

Our Research

The 3P group focuses on innovative pharmaceutical product design and aspects of materials science, with around 20 members and about 40 peer‑reviewed papers per year. The group has attracted several industrial co‑operation projects and actively collaborates with Danish and international fine‑chemical companies.

Your Job

You will play a central role in the Novo Nordisk Foundation–funded project “Deep Learning–Accelerated Crystallographic Pipeline”, which aims to integrate supervised machine‑learning models into a modular, open‑source workflow for small‑molecule crystallography. The position focuses on method development rather than application.

Primary Responsibilities
- Develop deep‑learning approaches for central crystallographic challenges.
- Design, generate, and curate large‑scale simulated datasets, including diffraction, electron density, and disorder models, for training and validating ML architectures.
- Design ML modules for integration in a modular crystallographic pipeline enabling seamless interaction between traditional algorithms and new deep‑learning components.
- Collaborate closely with key partners at Durham University (mathematical crystallography) and at the MAX IV synchr Postúlate en Kit Empleo: kitempleo.pe/empleo/xltgb