Wissenschaftliche Hilfskraft - Leipzig, Deutschland - German Centre for Integrative Biodiversity Research (iDiv)

German Centre for Integrative Biodiversity Research (iDiv)

Geprüftes Unternehmen

Leipzig, Deutschland

vor 1 Woche

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

**External Announcement
The Martin Luther University Halle-Wittenberg, Faculty of Natural Sciences I, Institute of Biology offers

the following position with Leipzig as job location and a preferred starting date 024:

Scientific research assistant (f-m-d)

'Digitization specialist'
Working hours: 30 to 40 hours/ month

The position is initially limited to one year, with an option for extension. The salary will be determined

with regard to the assigned tasks and personal qualifications and ranges from 13,25 €/h to 18,78 €/h.

The position is affiliated to the DFG funded project 'Quantifying and Reducing Uncertainty in Plant

Demographic models (RUPDemo)' of Dr. Aldo Compagnoni, located at the German Centre for

Integrative Biodiversity Research Halle-Jena-Leipzig (iDiv) in Leipzig, Germany. The project aims to

understand how plant populations respond to a variety of climate drivers at a global scale. To enable

this, we are creating PADRINO, a database of plant demography. The person in this position will have

the opportunity to read scientific literature on plant population biology, identify papers that are

appropriate for PADRINO, extract information or raw data from those papers, fit linear models, and

and who will receive substantial training on the specific tasks of this job. This is a great opportunity

The working language is English.

Requirements/expected profile:

University degree in biology, ecology, or a similar scientific field (Bachelor or Master)
Experience in R coding
Ability to fit and interpret linear statistical models
Experience working independently and summarizing scientific literature
Fluent in English (spoken and written)
Experience with plant demography is an asset
Experience and enthusiasm working in international teams is an advantage

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Tasks/ job description:

Perform literature searches to identify datasets or scientific articles on plant population projection

models (Matrix, and Integral, projection models) or plant population time series.

Identify the population projection model parameters that can be extracted from the relevant

datasets or scientific articles.

Whenever needed, directly contact the authors of scientific publications or datasets to ask for

clarification or additional data.

Fit linear models in R to obtain population model estimates directly from raw datasets. Use

estimates to build population models (either Matrix or Integral Projection Models).

Curate data, including cleaning, formatting, and error checking using R code. Error checking will

include testing the correct functioning of the population models.

Digitize textual or tabular demographic information into the PADRINO databases.
Collaborate remotely with a worldwide network of colleagues (e.g. Oxford University; Rice

University).

Priority will be given to applicants with severe disability and with equal qualifications. Women are

Applications should consist of a file including (i) a letter of interest and a (ii) curriculum vitae.

be held in May 2024.

The announcement takes place pending any possible budget restrictions. Application expenses cannot be

reimbursed by the Martin Luther University.

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