Research Associate (PhD Student) in Population Genomics - Rapid adaptation to environmental change § 28 Subsection 1 HmbHG

InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Institute for Cell and Systems Biology of Animals, Population Genomics

Salary levelEGR. 13 TV-L

Start dateas soon as possible, the initial fixed term is three years. (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline08.01.2025

Scope of workpart-time

Weekly hours65 % of standard work hours per week

Become a member of our dynamic evolutionary biology team! We are interested in the effect of environmental change on populations and ecosystems and study it with the help of the ecological aquatic model organism Daphnia, the water flea. We study adaptation at the genomic as well as phenotypic level and combine population genomics, experimental evolution, molecular tools, high-throughput phenotyping and evolutionary simulations.

You can expect a cute model system, big data, the opportunity to steer your PhD project in the direction of your interests, and a supportive working environment.

Your 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.

Your work includes:

• analyzing population genomic data
• designing and performing experiments with the water flea Daphnia
• taking care of Daphnia stock cultures and experimental evolution populations
• collecting data at the bench and in the field
• performing computer simulations
• publication of results in scientific journals and presentation at conferences
• participating in the administrative and teaching duties of the group (2 teaching hours per week)
• co-supervising BSc and MSc students

Your profile

A university degree in a relevant field.

Basic programming skills including genomic analysis or the analysis of other high-throughput data are necessary for the position. Good communication skills in English, including scientific writing, and the ability to collaboratively work in teams as well as good self-organizing skills are also needed.

One or more of the following skills are highly desirable:

• experience with the Daphnia system
• experience in experimental evolution
• experience with molecular biology methods
• good knowledge of statistics, preferentially using R

For informal inquiries please contact Kathrin Otte: kathrin.otte@uni-hamburg.de

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 one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

Instructions for applying

Contact

Prof. Kathrin Otte

kathrin.otte@uni-hamburg.de

Reference number368Location

Martin-Luther-King-Platz 3
20146 Hamburg
Zu Google Maps

Application deadline08.01.2025

Use only the online application form to submit your application with the following documents:

• cover letter
• CV
• copies of degree certificate(s)
• contact details of two potential referees

If you experience technical problems, send an email to bewerbungen@uni-hamburg.de.

More information on data protection in selection procedures.