Open positions

If you are interested in joining the lab, please send an e-mail to Johan Bengtsson-Palme (firstname.lastname@microbiology.se). Any current openings for specific positions in the lab are listed below.


Postdoc: Data Driven Research on Microbial Interactions 

Application deadline: June 5 (Ref 20220226)

We are recruiting a driven postdoctoral researcher with a background in bioinformatics, computational biology or programming to join us for a two-year postdoc project, financed by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). The project aims to uncover interactions between the bacteria in microbiomes that are important for community stability and resilience to being colonized by pathogens. In addition, the project seeks to unearth which environmental and genetic factors that are important determinants of bacterial invasiveness and community stability. The project will utilize large-scale data-driven approaches (including machine learning and metagenomic sequence analysis), combined with high-throughput molecular methods and established theories developed for macro-organism ecology to decipher the mechanisms behind interactions in microbial communities.

The postdoc will be expected to analyze and interpret large-scale data from ongoing and future experiments and studies performed by the group and our collaborators. The project tasks may also include predicting genes involved in pathogenicity and other interactions from sequencing data, and performing large-scale screening for such genes in microbiomes. The position is part of the SciLifeLab national research school on data-driven life science. The position may also include teaching on undergraduate and master’s levels as well as supervising master’s and/or PhD students.

If you feel that you are the right person for this job, please apply here: https://www.chalmers.se/sv/om-chalmers/Arbeta-pa-Chalmers/lediga-tjanster/Sidor/default.aspx?rmpage=job&rmjob=10515&rmlang=SE

The deadline is June 5, 2022.


Doctoral student: Data Driven Research on Microbial Interactions 

Application deadline: June 5 (Ref 20220225)

We are recruiting an aspiring student with a background in bioinformatics, computational biology or programming to join us for a four-year PhD project, financed by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). The project is closely related to the postdoc project described above, and the overall aim is to uncover interactions between bacteria in microbiomes that are important for community stability and resilience to colonization by pathogens, and which environmental and genetic factors that are important determinants of bacterial invasiveness. The project is centered around large-scale data-driven approaches (including machine learning and metagenomic sequence analysis).

The tasks for the student will include to analyze and interpret large-scale data from ongoing and future experiments and studies performed by the group and our collaborators, to predict genes responsible for pathogenicity and other interactions from sequencing data, and perform large-scale screening for such genes in microbiomes. The student will be part of the SciLifeLab national research school on data-driven life science and may include teaching on Chalmers’ undergraduate level or performing other duties corresponding to 20 per cent of working hours.

If you feel that you are the right person for this job, please apply here: https://www.chalmers.se/sv/om-chalmers/Arbeta-pa-Chalmers/lediga-tjanster/Sidor/default.aspx?rmpage=job&rmjob=10514&rmlang=SE

The deadline is June , 2022.


Doctoral student: Data Driven Antibiotic Resistance Research

Application deadline: June 5 (Ref 20220224)

We are recruiting an aspiring student to work in a four-year PhD project on antibiotic resistance, financed by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). The project will be focused on innovative solutions to halt the spread of antibiotic resistance. This will involve aspects of our work on understanding and limiting spread of antibiotic resistance through the environment, identifying genes involved in antibiotic resistance, defining the conditions that select for antibiotic resistance in different settings, and developing approaches for monitoring for antibiotic resistance in the environment. The distribution between these topics can be influenced by interest of the recruited student. In any case, the PhD project will use large-scale data-driven approaches (including machine learning and metagenomic sequence analysis) to identify risk environments, define potential novel antibiotic resistance genes, and building a platform for AMR monitoring data.

We are looking for a candidate with a background in bioinformatics, computational biology or programming, interesting in solving antibiotic resistance-related problems. The tasks will involve analyzing and interpreting large-scale data from ongoing and future experiments and sampling campaigns performed by the group and our collaborators, and charting antimicrobial resistance in the environment at a global scale. The doctoral student will be part of the SciLifeLab national research school on data-driven life science, and the position may also include teaching on Chalmers’ undergraduate level or performing other duties corresponding to 20 per cent of working hours.

If you feel that you are the right person for this job, please apply here: https://www.chalmers.se/sv/om-chalmers/Arbeta-pa-Chalmers/lediga-tjanster/Sidor/default.aspx?rmpage=job&rmjob=10513&rmlang=SE

The deadline is June 5, 2022.


Master/Internship students

While we are moving the lab from the University of Gothenburg to Chalmers, we will not accept master or internship students until we have figured out how things work practically and have settled in our new place. Sorry for that inconvenience!