We seek a highly motivated postdoctoral fellow to join our research group as a bioinformatician/computational biologist. The aim of this project is to elucidate the roles of non-coding transcription in plants.
Last day to apply is 15 March, 2020.
Historically, molecular research has primarily focused on coding regions of genomes. However, cutting-edge sequencing techniques have shown that large parts of the non-coding genome are dynamically transcribed. While this was first believed to be insignificant transcriptional noise, it has quickly become apparent that non-coding transcription events are environmentally responsive and can play diverse biological roles. Nevertheless, our knowledge of how non-coding or pervasive transcription governs gene expression is particularly rudimentary in multicellular organisms, such as plants. We recently developed Native Elongation Transcript sequencing (NET-seq) to plants enabling us to detect many non-coding events in Arabidopsis (DOI: https://doi.org/10.1093/nar/gkz1189). The postdoctoral fellow is expected to analyze publicly available sequencing datasets (e.g. NET-seq, ChIP-seq, RNA-seq) but also datasets generated by the research group. The project aims to develop NET-seq to a tree species, aspen, to further gain knowledge of how transcription dynamics and non-coding transcription determine the enormous plasticity of trees.
The postdoctoral fellow will work in the group of Peter Kindgren (www.upsc.se/peter_kindgren). Umeå Plant Science Centre (UPSC) is a Centre of Excellence in experimental plant biology, located in northern Sweden. The UPSC comprises approximately 200 researchers, from more than 40 countries, working on a variety of key issues in plant biology, including root and shoot development, flowering, biotic and abiotic stress responses and wood formation. UPSC has excellent, world-class laboratories and associated facilities for genomics, proteomics, metabolomics, microscopy, plant growth and genetic manipulation.
The candidate should have a PhD degree in bioinformatics or any other relevant field. PhD should have been obtained no later than 3 years before the application deadline. A proven experience of bioinformatic skills in analysing and managing large sequencing datasets is a prerequisite. Good knowledge of English in both speaking and writing is a prerequisite. Candidates should also have an ability to initiate, plan, and to work in team and independently.
The tax-free stipend is granted for 2 years and amounts to 25000 SEK per month. The employment will start early spring 2020 or by agreement. Interested applicants should submit the application in English and provide the following documents:
- Cover letter demonstrating the applicants motivation and interest in the topic (max 2 pages)
- C.V., including the list of your published work, and names and contact information for two references
- Certificate of academic merit or a copy / link to the applicant's doctoral dissertation.