Supervisor: Zoltán Botta-Dukát
e-mail: botta-dukat.zoltan [at] okologia.mta.hu
In the last decade, trait-based approach became widespread. However, there is no consensus
on the best way to analyze trait data. A lot of different test statistics and randomization
procedures were proposed and applied without checking their statistical properties (type I
error rate and power). Our research group has developed an individual-based simulation
framework that enable checking type I error rate and statistical power of test statistics and
randomization algorithms (Botta-Dukát and Czúcz 2016 – Methods in Ecology and Evolution
7(1): 114-126; Götzenberger et al. 2016 – Journal of Vegetation Science 27: 1275-1287.).
Unfortunately, most of the widely used test statistics proved to be inappropriate.
Original version of simulation is spatially implicit, and cannot handle intra-specific trait
variation (ITV). A new improved version that allows modelling spatially explicit meta-
communities and ITV is under preparation. The post-doc applicant could participate in this
development, and she/he should use this simulation for testing different methods, especially
ones that can use ITV data, and should prepare at least one manuscript from the results, and
submit it into a high quality journal.
Criteria for the applicants:
- Work experience outside Hungary for at least two years as a researcher (0.5 contract
or more) or doctoral studies during the last three years.
- Stay and work in the MTA Centre for Ecological Research, GINOP Sustainable
- Excellent written and fluent spoken English.
- Experience in doing statistical analysis by R (experience in programming in R or in
other languages is an advantage)
Starting Job: 1st September 2019 (optionally later)
Contract duration: minimum 3 months, maximum 12 months (latest possible end of
employment is 31th August 2020)
Jobs Hours: Full time
Salary: up to 600 000 HUF/months (depending on the applicant’s experience)
Application deadline: 15th July 2019
Please send the following documents (all in one PDF file) by by e-mail to the Supervisor:
- For EU candidates: Copy of your national ID card or of your passport page where your
photo is printed.
For non-EU candidates: Copy of your passport page where your photo is printed.
- Curriculum Vitae (may include hyperlinks to your ResearchID, Research Gate, Google
- Detailed list of publications (may include hyperlinks to DOI of publications).
- Letter of motivation relatively to the position (Cover Letter) in which applicants (i)
describe themselves and the planed duration of the contract (ii) their contributions to previous
research projects (maximum 2 pages)
- Copy of your PhD degree if already available.
- Coordinates of reference persons (maximum 3, at least your PhD supervisor):
Title, Name, organization, e-mail.
If you have questions regarding the application, please contact the supervisors