IceLab Multidisciplinary Postdoctoral Fellowship

Postdoctoral fellowship (2 years) in data-driven antimicrobial-resistance research

Application deadline:

December 15, 2021

We are looking for a postdoctoral researcher in Data-driven antimicrobial-resistance research to The Integrated Science Lab (IceLab) and the Department of Molecular Biology at Umeå University, Sweden. The opening is for two years (can be extended) and available immediately or as agreed.

IceLab at Umeå University: World-leading interdisciplinary research

Umeå University provides creative environments for learning and work. We offer a wide variety of courses and programs, world leading research, and excellent innovation and collaboration opportunities. More than 4 400 employees and 34 000 students have already chosen Umeå University.

IceLab promotes transdisciplinary collaborations with a focus on cutting-edge research that integrates theoretical, computational, and empirical work. We combine mathematical and computational modeling expertise with a deep interest in working with empirical researchers. We will welcome you to IceLab with genuine support by creative researchers working on a multitude of interdisciplinary problems.

The recruited postdoc will be part of a multidisciplinary team with complementing expertise in molecular infection biology, systems biology, and machine learning.

For more information, see:;

The two-year postdoc fellowship is financed by the Kempe foundations. A fellowship amounts to 315 000 SEK per year plus 50 000 SEK in running costs. Last application date end of 2021. Exact start date as soon as possible or according to agreement.

Project description

Bacteria cell wall systems biology

The Cava lab at the Laboratory of Molecular Infection Medicine Sweden (MIMS) and the Department of Molecular Biology (Umeå University) studies cell wall biology and genetics in bacteria. Our goal is to improve the inventory of players in cell wall biogenesis and regulation, characterize their function and interplay, and evolve our work into quantitative studies and computational modelling. As the bacterial cell wall is a major antibiotic target, this research program has a great potential in the development of novel antimicrobial strategies to combat multidrug-resistant bacterial pathogens.

This postdoc will be placed in IceLab, hosted by the Department of Molecular Biology, and supervised by a multidisciplinary team with complementing expertise in molecular infection biology, systems biology, and machine learning.


Candidates must hold a university degree in bioinformatics/computational biology or in microbiology/molecular biology equivalent to a European University PhD at the time of recruitment. You should be highly motivated, have very good communication skills with senior colleagues and peers and the ability to interact in a team.

It is particularly qualifying to have excellent skills in modern computer programming languages such as C++, Python, MATLAB or R. Enthusiasm, the ability for good teamwork, and a good command of the English language are also key qualifications.


A complete application, submitted electronically (MS Word or PDF) should be sent in English to Felipe Cava (, Nathaniel Street ( and Eric Libby ( A complete application includes:

  1. A cover letter summarizing your qualifications and your motives for applying (max 2 pages),
  2. A curriculum vitae (CV) with publication list,
  3. Contact information for three reference persons,

Other documents that may be requested at a later stage include:

  1. Certified copy of doctoral degree certificate,
  2. Certified copies of other diplomas, list of completed academic courses and grades,
  3. Copy of doctoral thesis,
  4. Copies of relevant publications
Apply by Email