Postdoc Position in the field of Bioinformatics, Microbiology, Metagenomics to work in the project “Arctic microbial oil degradation” in Greenland’s marine environment at the Department of Biology, Aarhus University, Denmark (Bioinformatics Jobs, Microbiology jobs)
Deadline to Apply
May 01, 2021 (23: 59 GMT +1)
|Position||Postdoc position / Research Assistant|
|No. of Position(s)||1|
|Research Area||– Microbiology|
|Salary||According to standard norms|
|Workplace||Arctic Research Centre|
Arctic Research C.
Ole Worms Allé 1
|Contract Period||1 Year|
- PhD in relevant domain (e.g. microbiology degree) or similar and has a strong experience with bioinformatic analysis of complex and large datasets.
- Candidates holding a MSc degree with a very strong experience in bioinformatics are also welcome to apply. The position can be converted into a research assistant position.
- The applicant should be interested to co-supervise students.
- Excellence in both written and spoken English is a requirement.
The following experiences are considered as an advantage:
- Background knowledge about modern molecular techniques (amplicon sequencing, metagenomics)
- Background knowledge on chemical analysis (GC-MS or similar)
- Background knowledge about microbiology and microbial ecology, in particular related to oil biodegradation
- Publishing in peer-reviewed journals
- Developing and writing project proposals
Where experience is lacking, the candidate must be motivated to learn and will get the opportunity to develop new skills.
Responsibilities/ Job Description
- You will contribute to a project on oil spill biodegradation in Greenland. Earlier during this project, we have acquired a unique dataset of chemical and microbial DNA sequence data from in situ oil spill biodegradation experiments in Greenlandic seawater and sediments.
- You are expected to investigate relationships between the composition of oil degrading microbial communities (measured 16S rRNA amplicon sequencing and qPCR quantification), environmental parameters and the chemical composition of the oil over time (measured by GC-MS).
- Advanced bioinformatic analysis of genomic data
- Advanced cheminformatic analysis of GC-MS data
- Define additional metagenomic analysis of selected samples and perform metagenomic data analysis. Metagenomic analysis will be conducted by, and in collaboration with, the group of Prof. Charles Greer (National Research Council, Canada).
- Investigate relationships between microbial, chemical and environmental data
- Publish results in scientific journals
How to Apply?
To apply, please click APPLY ONLINE button mentioned above.
The application must be in English and include
- A curriculum vitae
- Degree certificate
- A complete list of publications
- A statement of future research plans and information about research activities
- Teaching portfolio and verified information on previous teaching experience (if any).
- Guidelines for applicants can be found here.
The Arctic is borderless, and so is the Arctic Research Centre (ARC). The centre recognizes the need to adopt an interdisciplinary approach to adequately address contemporary and critical Arctic issues. Therefore, a large number of researchers from a wide variety of disciplines have joined forces to investigate effects of climate changes and related consequences such as increased risk for oil spills on the Arctic cryosphere, ecosystems and societies. Joint field campaigns constitute a focal point in the work of ARC and are an effective means to unite and integrate the different academic fields involved, sparking interdisciplinary collaboration and synergy.
- The successful candidate will be employed by the Department of Biology at Aarhus University (http://bio.au.dk/en) and be a part of the Arctic Research Centre (http://arctic.au.dk/) at the Department of Biology.
- All interested candidates are encouraged to apply, regardless of their personal background. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.
Post expires at 8:59am on Sunday May 2nd, 2021 (GMT+9)