Reymond Research Group

University of Bern

Open Positions

Open PhD Positions

Ph.D. Thesis in Chemical Biology: Bioactive Peptides

A graduate student positions is open starting 2018 to carry out a Ph.D. thesis in chemical biology. Applicants must hold a Master’s degree in Chemistry or Biochemistry and have interest in interdisciplinary work involving synthesis, biophysical studies and bioactivity testing.

The research project focuses on the synthesis and testing of branched peptides, such as peptide dendrimers and bicyclic peptides, for antimicrobial, immunomodulation, gene/drug delivery and cell penetrating properties. We particularly emphasize the integration of chemical space guided compound design. Recent publications of the group on this topic:

256. Chemical Space Guided Discovery of Antimicrobial Bridged Bicyclic Peptides Against Pseudomonas aeruginosa and its Biofilms Ivan Dibonaventura, Xian Jin, Ricardo Visini, Daniel Probst, Sacha Javor, Bee-Ha Gan, Gaelle Michaud, Antonino Natalello, Silvia Maria Doglia, Thilo Kohler, Christian van Delden, Achim Stocker, Tamis Darbre and Jean-Louis Reymond, Chem. Sci., 2017, doi:10.1039/C7SC01314K

Ph. D. Thesis in Cheminformatics: Big Data

A graduate student position is open starting 2018 to carry out a Ph.D. thesis in cheminformatics, with emphasis on big data. Applicants must hold a Master's degree in chemistry, biochemistry, informatics, mathematics, or related areas, and have a strong interest in computational work, including programming and data management.

The project involves exploration of chemical space by enumeration and mapping of very large databases such as the "chemical universe database" GDB, the largest virtual fragment collection for drug discovery developed by our group. Recent publications of the group on this topic:

252. WebMolCS: a Web-Based Interface for Visualizing Molecules in 3D Chemical Spaces Mahendra Awale, Daniel Probst and Jean-Louis Reymond, J. Chem. Inf. Model., 2017, 57(4), 643–649

260. Virtual Exploration of the Ring Systems Chemical Universe Ricardo Visini, Josep Arús-Pous, Mahendra Awale, and Jean-Louis Reymond, J. Chem. Inf. Model., 2017, doi:10.1021/acs.jcim.7b00457

BIGCHEM PhD position in computational chemistry/data science

We currently have one immediate open PhD position funded by an EU project (BIGCHEM) in computational chemistry and data science area. BIGCHEM (BIG data in CHEMistry) is a Marie Skodowska-Curie Innovative Training Network (ITN) for Early Stage Researchers (ESR) funded by the European Commission under the H2020 Programme. The BIGCHEM ITN provides a comprehensive and cross-disciplinary structured curriculum for doctoral students in large chemical data analysis using machine-learning, computational chemistry and chemoinformatics methods. The innovative research program involves target users, large pharma companies and SMEs, which generate and analyze large chemical data.

The PhD project involves University of Bern (Switzerland) and the computational chemistry group in Discovery Sciences department at AstraZeneca Gothenburg (Sweden) site. The ideal candidate should meet the following eligibility criteria:

  • Has a diploma and/or a master's degree in Chemistry, Bioinformatics, Computer/Data Science or related fields.
  • Has a solid background in programming, good knowledge on UNIX/LINUX operating system and an interest in informatics and statistics. Medicinal chemistry knowledge is a plus.
  • Fluent in English language (spoken and written/proficiency level).

The deadline for application is 2017, December 31. To apply for this position, please send your CV, copies of academic degrees, and two reference letters via e-mail to:

Prof. Jean-Louis Reymond

For any inquiry about the project, please contact Prof. Reymond or Dr. Hongming Chen.

General information to the Ph.D. student positions

The positions are funded as Swiss National Science Foundation level for a maximum of 4 years (completion of the thesis is expected in 3-4 years). Participation in the DCB graduate program (attendance of seminars, group seminars, summer schools and international conferences) and to teaching (approx 22 days per year in laboratory courses) is required.

For further information and applications, please contact: