Universität Basel: PhD Position in Computer-Aided Drug Design of Carbohydrate Mimics PhD Position in Computer-Aided Drug Design of Carbohydrate Mimics Preferred starting date is August 1, 2025. We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group , Department of Pharmaceutical Sciences, University of Basel. This position is part of an interdisciplinary project focused on the rational design of carbohydrate mimetics as antagonists of collectin-11 , a key lectin in the innate immune system. Project Overview Collectin-11 is a pattern recognition receptor that initiates the lectin pathway of complement activation-an essential component of innate immunity. Beyond its role in pathogen defense, collectin-11 contributes to sterile inflammatory responses , such as ischemia-reperfusion injury, making it an attractive target for novel anti-inflammatory therapies. Your position The successful candidate will be responsible for the in silico design and molecular modeling of carbohydrate mimics with the goal of developing potent and selective collectin-11 antagonists. These compounds will be synthesized and tested by experimental collaborators within our team. The project involves techniques such as molecular dynamics simulations, structure-based drug design (docking, scoring, QSARs), free energy calculations , cheminformatics workflows, and machine learning . Your profile We are looking for a highly motivated and talented PhD student with a strong background in molecular modeling and a passion for applying computational methods to solve biologically relevant problems. The ideal candidate will demonstrate: A Master's degree (or equivalent) in pharmaceutical sciences, chemistry, computational biology, bioinformatics, or a related field. Excellent understanding of structural biology and molecular interactions , particularly in the context of protein–ligand recognition. Excellent understanding of structural biology and molecular interactions Previous experience with modeling of carbohydrates and their binding proteins is a plus. modeling of carbohydrates and their binding proteins Practical knowledge of molecular modeling tools and techniques (e.g., docking, MD simulations, FEPs, QM/MM methods). Programming or scripting proficiency (e.g., Python, Bash) is highly desirable. Strong problem-solving, analytical, and communication skills. Enthusiasm for interdisciplinary collaboration and innovation. We offer you Why Basel? The University of Basel -founded in 1460-is Switzerland's oldest university and a globally recognized research institution with exceptional strength in the life sciences. Situated in the center of Europe's premier pharmaceutical and biotech hub , Basel is home to leading companies in the field, and numerous cutting-edge startups, offering unique exposure to both academic excellence and industrial innovation. A fully funded PhD position (Swiss National Science Foundation) of total duration of 4 years Access to high-performance computing resources and state-of-the-art modeling tools A collaborative and intellectually stimulating research environment Opportunities for advanced training, international conferences, and networking An inclusive university in a vibrant, international city Application / Contact   Please send your application as a single PDF containing: A motivation letter Curriculum vitae Academic transcripts Contact information for at least two academic referees Applications will be reviewed on a rolling basis until the position is filled. Preferred starting date is August 1, 2025 . Apply www.unibas.ch