ORGANISATION/COMPANYInstitute of Botany of the Czech Academy of Sciences
RESEARCH FIELDBiological sciences › BotanyComputer science › Programming
RESEARCHER PROFILEFirst Stage Researcher (R1)Recognised Researcher (R2)
APPLICATION DEADLINE30/10/2019 16:00 - Europe/Brussels
LOCATIONCzech Republic › Pruhonice
TYPE OF CONTRACTTo be defined
HOURS PER WEEK40
OFFER STARTING DATE01/01/2020
The new Bioinformatics department at Institute of Botany CAS (IBOT) (Průhonice, Czech Republic) has an opening for a new biostatistician/bioinformatician (either R1 research assistant or R2 associate scientist according to the candidate’s profile) position beginning in January 2020. The position is funded for 1 year with option for extension.
Our research focuses on the computational analysis of genomic and transcriptomic data generated by next-generation sequencing platforms from non-model plant species in order to address questions related to genome biology and population genomics.
Our team follows its independent lines of research, but also develops close collaborations with other IBOT and international experts on data intensive projects.
We are interested in a candidate familiar with inter-disciplinary and multi-disciplinary approaches in phylogenetics, population genetics and ecology. The position also involves ad hoc supervision and the opportunity for participation in the development of a new scientific department. The successful candidate will also have opportunity to develop their own research ideas as they fit within the general research interests of our department.
Place of work: Průhonice near capitol city Prague.
Position includes standard health insurance and social security. Living costs are low by international standards. At the beginning of your stay we can offer non-commercial accommodation nearby the work-place.
The researcher will have access to state-of-the-art infrastructure and services and be part of a highly collaborative and supportive working environment. Various training and leadership opportunities are possible to broaden your expertise and skills.
Employee benefits: kindergarten on site, flexible working hours, five weeks of holiday, 5 days of sick-day, employer's contribution to supplementary pension insurance in Czech pension system, meal vouchers and leisure benefits.
Foreign applicants will receive support in transferring to the Czech Republic and support at the workplace.
The work-place is in the beautiful surroundings of the national and UNESCO heritage Průhonice Park. We offer excellent accessibility by public transport to the Prague city center, parking in the area, numerous dining, sports and shopping areas within easy reach and near the direct exit to D1 motorway.
Instructions: Please submit to firstname.lastname@example.org:
- a CV,
- a copy of diploma/PhD certificate
- a one-page summary cover/motivation letter
- and a list of two references with contact information.
Application deadline is October 30, 2019; selected applicants will be interviewed by Skype.
Review of applications will start October 30, 2019 and closes November 15, 2019 with results announced November 29, 2019.
The selection of candidates is made on the basis of the qualifications registered in the application.
Required Research Experiences
RESEARCH FIELDComputer science
YEARS OF RESEARCH EXPERIENCE1 - 4
REQUIRED EDUCATION LEVELComputer science: Master Degree or equivalent
REQUIRED LANGUAGESENGLISH: Good
The qualified applicant will have a Master degree or PhD in biostatistics, bioinformatics, machine learning, computer science, or botany. A strong background in statistics is essential. The candidate is required to have practical knowledge of next generation data processing in genomics and transcriptomics. The applicant should have experience with Linux/Unix, programming Python and R, high-performance computing frameworks and an interest in machine learning and distributed data processing frameworks (Hadoop, Apache Spark) and Scala programming.
We are particularly interested in candidates familiar with recent advances in gene flow research in macroevolution (polyploid and hybrid speciation) and microevolution (cross species hybridization and population gene flow). Previous experience with relevant models and methods is desirable. We seek a candidate with communication skills, ability to work independently as well as in a team and fluency in English. Personal suitability will be an important consideration.
EURAXESS offer ID: 446974
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