Research Associate § 28 Subsection 3 HmbHG

Hamburg Center for Health Economics; Hamburg; Vor Ort; EUR 50.000 - 62.000; Vollzeit

Zusammenfassung

The Hamburg Center for Health Economics seeks a research associate for a 36-month project focusing on climate change and ecological impact assessment. Responsibilities include data analysis, consulting for diverse scientists, and the development of advanced data-driven solutions. Candidates should hold a relevant university degree and possess strong skills in data engineering and visual language models. Join us in addressing vital biodiversity challenges in collaboration with leading institutions.

Leistungen

Reliable remuneration based on wage agreements

Continuing education opportunities

Flexible working hours

Health management, EGYM Wellpass

30 days of vacation per annum

Qualifikationen

• Experience in visual language models and data engineering.
• Experience in one or more areas like NLP, multimodal ML, and frontend development.
• Very good command of written and spoken English and German.

Aufgaben

• Conduct research and pursue independent projects.
• Consult on data science solutions and develop data-driven systems.
• Analyze complex data sets and evaluate software systems.

Kenntnisse

Visual language models

Data engineering

Natural language processing

Multi-modal machine learning

Frontend development

Ausbildung

University degree in relevant field

Jobbeschreibung

InstitutionHub of Computing and Data Science (HCDS)

Salary levelEGR. 13 TV-L

Start dateas soon as possible, fixed for a period of 36 month (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline02.07.2025

Scope of workfull-time position suitable for part-time

Your responsibilities

Duties primarily include research. Research associates may also pursue independent research and further academic qualifications. They may also pursue doctoral studies outside of working duties

Understanding the responses of organisms to environmental change is critical to managing and preserving biodiversity, especially in the light of global climate change. The aim of the project is to elucidate various mechanisms of rapid adaptive changes exemplarily in six subprojects using various biological collections of the University of Hamburg and the Leibnitz Institute for the Analysis of Biodiversity Change. Our approach is taxonomically and functionally broad, spanning genomic, molecular, morphological, physiological and community level analysis in animals, plants and fungi. We will apply experimental evolution, phylogenomics, network analyses as well as utilize the rich biological collections that have been capturing diversity over the past 200 years. This project is part of a research consortium that consists of six subprojects in total. Central to all projects is a data science approach to handle and analyze large and complex data. We search for skilled and motivated research associates for the following subproject.

Assessing and Understanding Changing Morphologies in an Era of Climate Change – Multi-Modal Analysis of Collections:

To understand the impact of climate change on species, scientific collections bear tremendous potential for novel insights. This project seeks to leverage this potential by using visual language models to increase the degree auf (semi-)automatized analysis. This encompasses a wide range of features ranging from color and size to hairiness of insects. As a large part of traditional assessment is a manual task, significant productivity gains are expected. Thus, enabling large scale comparisons and assessment of ecological environments on the development of species.

Further duties at the Hub of Computing and Data Science involve:

• consulting for scientists of all faculties about possibilities and implementations of data science solutions for research
• planning, implementation and maintenance of data science software
• development of all kinds of data-driven systems, all the way from advanced data analytics to multimodal transformer models
• requirements analysis with the prospective users (researchers of all fields)
• creation of user-friendly interfaces tied to expertise and needs of the users
• analysis and recommendation of state-of-the-art technologies for both models and infrastructure
• evaluation and quality assurance of the applications
  
  

Your profile

A university degree in a relevant field.

• experience in visual language models
• experience with data engineering and data modelling
• experience in one or more of the following areas:
• natural language processing
• Multi-Modal Machine learning
• training and finetuning of large language models
• conceptualization of retrieval augmented generation pipelines
• evaluation of complex software systems
• frontend development
• very good command of written and spoken English and German
• strong social and communication skills, initiative, motivation, high sense of responsibility, ability to work in an interdisciplinary team and very good organizational skills
  

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.

The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.

The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply.

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

Instructions for applying

Contact

Dr. Martin Semmann

[e-mail]

[phone]

Prof. Dr. Chris Biemann

[e-mail]

[phone]

Reference number

160

Location

Albert-Einstein-Ring 8-10

22761 Hamburg

Zu Google Maps

Application deadline

02.07.2025

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

• cover letter
• CV
• copies of degree certificate(s)
  
  

If you experience technical problems, send an email to [e-mail].

More information on data protection in selection procedures.

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