Umeå University, Medicinska fakulteten

Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.

The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.

Are you interested in learning more? Read about Umeå university as a workplace

The Faculty of Medicine, which consists of 13 departments, is responsible for biomedical research and courses in the field of nursing and health care and has an extensive research and graduate education in more than 80 subjects.

The Department of Molecular Biology at Umeå University, Sweden seeks a postdoctor who will work with studying bacterial regulatory mechanisms of importance for maintenance of infections. The opening is temporary for two years and available from October 2021 or as agreed.

The Department of Molecular Biology has about 200 employees. The department's main tasks involve research, graduate education, and undergraduate education as well as interactions with the community. Affiliated with both the Faculty of Science and Technology and the Faculty of Medicine, the department's research and education activity includes several molecular biological areas within science and medicine: cell biology, microbiology, infection biology, tumor biology and neurobiology and in conjunction with the use of genetic model organisms (except plants). For more information, see: www.umu.se/en/department-of-molecular-biology/

Project description and work tasks

The postdoc will work in the laboratory of Prof Maria Fällman. Studies in the lab study molecular mechanisms in bacterial gastrointestinal pathogens important for the ability of these pathogens to establish and maintain persistent infections in presence of competing microbiota and an active immune system, mainly using Yersinia pseudotuberculosis and Salmonella enterica as model pathogens. The focus of the postdoc project is to reveal new knowledge of bacterial regulatory mechanisms and you will be responsible for and execute wet lab experiments and extensive bioinformatic analyzes of NGS data. It will involve work with bacteria including RNA/ChIP/Ribo-seq and exploration of data utilizing diverse bioinformatic tools also including machine learning approaches.

Further details are provided by maria.fallman@umu.se.

Qualifications

You must hold a University degree equivalent to a European University Doctoral degree in medical science with a focus on molecular biology at the time of recruitment. A person who has been awarded a doctorate or a foreign qualification deemed to be the equivalent of a doctorate qualifies for employment as a postdoctoral fellow. Priority should be given to candidates who have completed their doctoral degree no more than three years before the closing date of the application. A candidate who has completed their degree prior to this may be considered if special circumstances exist. Special circumstances include absence due to illness, parental leave or clinical practice, appointments of trust in trade unions or similar circumstances. Postdoctoral fellows who are to teach or supervise must have taken relevant courses in teaching and learning in higher education.

Experience with programming in R, python and Java, working in the LINUX/UNIX environment, and in-depth analyses of different types of NGS data from bacteria, including RNA-Seq and ChIP-Seq data as well as experience in development of tools and pipeline for NGS data analysis in conda and docker environments are required. Previous training and experience from work with bacteria, using molecular biology techniques and work with mouse infection models are also required. Experience from work with RNA-, ChIP- and Ribo-seq in bacteria is a strong merit, as well as multivariate data analysis experience for Proteomics and training in machine learning. Experience from supervision of under-graduate students in both laboratory and bioinformatic matters is also a merit. The candidate is expected to be highly motivated, and to have excellent skills in oral and written English, strong work ethics and critical thinking abilities.

Application

You apply through our recruitment system Varbi. The application should be written in English or Swedish. The deadline for application is 29 June 2021. The application should include:

  • A personal cover letter explaining why you are interested in the position, how you can contribute tothe project and in which direction you may want to develop it (no more than one A4 page).
  • A curriculum vitae that documents academic education and past and previous employments.
  • Your publication list.
  • A copy of the PhD certificate and other relevant degree certificates.
  • A copy of doctoral thesis.
  • Names and contact details with e-mail addresses of two or three academic references.
  • Other relevant documentation you wish to include in support of your application.

We welcome your application!

Type of employment Temporary position
Contract type Full time
First day of employment October 2021 or as agreed
Salary Monthly salary
Number of positions 1
Full-time equivalent 100%
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-981-21
Contact
  • Maria Fällman, maria.fallman@umu.se
Union representative
  • SACO, 090-786 53 65
  • SEKO, 090-786 52 96
  • ST, 090-786 54 31
Published 08.Jun.2021
Last application date 29.Jun.2021 11:59 PM CEST

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