A two-year Postdoc position is available in the bioinformatics group (ivh.ku.dk/bioinformatics), Center for non-coding RNA in Technology and Health (RTH), (rth.dk) at Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences at University of Copenhagen. The Postdoc position in Bioinformatics within Neurodegenerative Diseases is available from 1 August 2018 or as soon as possible thereafter.
Information about the department can be found at ivh.ku.dk/english/.
You will be a team player working with great excitement, and a key person in the project essential for obtaining successful results. The Postdoc position is part of the Indo-Danish NeuroStem project, which aims to discover RNA mediated regulation in neurodegeneration through stem cell models. The Postdoc will be interacting closely with the Group for Stem Cells and Embryology. See neurostem.dk for details. The Neurostem project is supported by Innovation Fund Denmark.
Background
The NeuroStem project aims at identifying and manipulating non-coding RNA to obtain novel functional insight in Alzheimer´s and Parkinson’s diseases that can enable improved treatment. The non-coding RNAs will be extracted from expression experiments of patient-specific neuronal cells derived from induced pluripotent stem cells obtained from skin fibroblasts. Further details can be found at neurostem.dk.
Job description
The project involves detection and analysis of non-coding and structured RNA and their correlation of transcriptomic data in regards to the neurodegenerative diseases. Relevant methods will be employed for the transcriptome analysis and methods for detecting structured RNA and RNA-RNA interactions will be developed and incorporated in the integrated pipelines. There will be close synergy to the experimental side in e.g. the set up for mechanistic experiments to further verify RNA functions in relation to neurodegeneration.
Terms of employment
Salary and other terms and conditions of appointment are set in accordance with the Agreement between the Ministry of Finance and AC (Danish Confederation of Professional Associations) or other relevant professional organisations. The position is covered by the “Memorandum on Job Structure for Academic Staff at the Universities” of June 28, 2013.
The gross basic salary range for Postdoctoral Fellows is DKK 33,224 to DKK 34,980 per month (level 6 to 8). To the basic salary a supplement could be negotiated, dependent on the candidate’s experience and qualifications. An additional 17.1 % monthly contribution to pension will be paid by the employer. Non-Danish and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark for the last 10 years.
The position is limited to a two-year period.
Place of employment
RTH is located on Frederiksberg Campus; however, as part of the NeuroStem project research visits to project partners will be a part of the Postdoc employment. Our research environment is highly international and stimulating. We frequently organise seminars, workshops, PhD summer schools with international speakers and have retreats with our international collaborators.
Questions
For further information about the scientific content of the position please contact Professor Jan Gorodkin, email gorodkin@sund.ku.dk, phone +45 2337 5667Ring op: +45 23375667 or for application procedure and formalities please contact HR on email sund-hr-ivh@sund.ku.dk.
Application procedure
Apply by clicking "Apply online" below. Please note that only online applications will be accepted.
Applications - in English - must include:
Cover letter detailing your motivation and background for applying for the specific Postdoc project
CV
Diploma and detailed transcripts of records
Other information for consideration, e.g. list of publications, peer reviewed and other
Personal Recommendations (if any)
A maximum of 3 relevant scientific works which the applicant wishes to be included in the assessment
The deadline for applications is 18 May 2018. Any applications received after this time or incomplete will not be considered.
Receipts of the applications will be acknowledged, and the applicant will be kept continuously informed of the progress of the application.
Required qualifications and selection criteria
The applicant should hold the professional as well as personal skills and qualifications as stated below:
A completed PhD degree in bioinformatics, computer science or in a similar area
General background knowledge of biological areas of genome structure and transcriptomes
Algorithmic insight broad and for RNA 2D structure
Strong experience with script languages such as Perl or Python (or similar)
Strong experience with the Linux/Unix environment, command lines and shell scripting
Solid experience with transcriptome analysis
Familiarity or experience in at least one of the following programming languages: C, C++ or Java
Good interpersonal skills
Excellent in English both in writing and speech
Candidates fulfilling one or more of the following qualifications will be prioritised:
Experience with transcriptomic data from neurodegenerative diseases
Strong experience in at least one of the following programming languages: C, C++ or Java
It is recommended that the applicant address the qualification requirements one by one in the cover letter.
Only applications submitted via the UCPH online system will be accepted. Please go to: employment.ku.dk/faculty/?show=147152 and click on "Apply Online"
Applications - in English - must include:
Cover letter detailing your motivation and background for applying for the specific Postdoc project
CV
Diploma and detailed transcripts of records
Other information for consideration, e.g. list of publications, peer reviewed and other
Personal Recommendations (if any)
A maximum of 3 relevant scientific works which the applicant wishes to be included in the assessment
The deadline for applications is 18 June 2018. Any applications received after this time or incomplete will not be considered.
Receipts of the applications will be acknowledged, and the applicant will be kept continuously informed of the progress of the application.