Research Associate for the project “Rapid adaptive change in species specific traits of insect-[...]

Overview

Institution : Faculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Leibniz Institute for the Analysis of Biodiversity Change and House of Computing Data Science

Salary level : EGR. 13 TV-L

Start date : as soon as possible, fixed for a period of three years. This is a fixed-term contract in accordance with Section 2 of the Wissenschaftszeitvertragsgesetz (WissZeitVG).

Application deadline :

Scope of work : part-time

Weekly hours : 65 % of standard work hours per week

Responsibilities

• Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation.
• At least one-third of set working hours will be made available for the research associate’s own academic work.
• Contribute to the project on rapid adaptive change in species specific traits of insect-spider communities, including integration with other subprojects and data science approaches to handle large and complex data.

Project context

Understanding the responses of organisms to environmental change is critical to managing and preserving biodiversity, especially in the light of global climate change. The project aims to elucidate mechanisms of rapid adaptive changes across six subprojects using biological collections and various analyses (genomic, molecular, morphological, physiological and community level) in animals, plants and fungi. The project employs experimental evolution, phylogenomics, network analyses and AI-assisted image analysis, with a data science focus.

Your profile (Qualifications)

• A university degree in a relevant field; MSc (or equivalent) in Biology, Zoology, Ecology, Environmental Sciences or a related field.
• Knowledge of systematics/taxonomy of and practical work with insects or spiders is required.
• A strong basis in field ecology is advantageous.
• Quantitative training (statistics/data science, including R) or relevant practical experience is required.
• Advanced skills in programming, data management or statistical modeling are advantageous.
• High enthusiasm for the living world, independence, scientific integrity and curiosity; good communication and collegial interaction within the RAC project.

We offer

• Reliable remuneration based on wage agreements
• Continuing education opportunities
• University pensions
• Attractive location
• Flexible working hours
• Work-life balance opportunities
• Health management, EGYM Wellpass
• Educational leave
• 30 days of vacation per annum

Universität Hamburg – University of Excellence is committed to equity. Diversity enriches university life. We welcome applications regardless of gender, gender identity, sexual orientation, ethnicity, age, religion or belief, disability or chronic illness. Severely disabled applicants receive preference if equally qualified.

Instructions for applying

Contact :

Prof. Dr. Marie (Mariella) Herberstein – –

Prof. Dr. Jochen Fründ – –

Reference number : 15

Location : Martin-Luther-King-Platz 3, 20146 Hamburg

Application deadline:

Use only the online application form to submit your application with the following documents: cover letter, CV, copies of degree certificates, and a copy of your MSc thesis (or any relevant publication).

If you experience technical problems, email More information on data protection in selection procedures.

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