Leading Scientist (f/m/x) in Modelling Research

Place of work

Working time

The job position is available for full-time or part-time employment.

Contract limitations

Salary

Contact

Your contact for any questions you may have about the job:
Daniela Thrän
daniela.thraen[at]ufz.de

Your application

To ensure a fair selection process, please submit your application (cover letter, CV, and relevant supporting documents) via our online portal without a photo, age information, or details about your marital status.

Diversity and Inclusion

The UFZ values diversity and is actively committed to ensuring equal opportunities for all employees, regardless of their origin, religion, beliefs, disability, age or sexual identity.
We welcome people who represent diverse backgrounds, identities and perspectives. We therefore particularly encourage people who are affected by structural discrimination to apply to us.

Your tasks

• Research Concept & International Collaboration
  Develop and refine key research questions within two focus areas: (i) assessing possible future biomass demand and supply systems as drivers of land use, and developing cost-optimized supply options for diverse regions; and (ii) embedding the use of renewable energy and resources in multifunctional landscapes by incorporating additional landscape functions as input data.
• Third-Party Funding Acquisition
  Secure third-party research funding (e.g. from DFG, EU or BMFTR) sufficient to establish and staff a dedicated research group supporting the project's focus.
• Scientific Leadership
  Lead the research group and manage its resources supporting the project's focus, including co-supervision of doctoral researchers and responsible planning, coordination, and oversight of personnel, financial, and infrastructure resources for the group and, where relevant, the research infrastructure.
• Advancing the Modelling Infrastructure
  Develop the BENOPT optimization models, software components, and user interfaces beyond their current scope, testing new methodological approaches whose feasibility and payoff are not yet fully established. Build a more flexible model infrastructure that opens up novel applications within the department and in national and international research collaborations.
• Public Engagement & Dissemination
  Communicate the project's research findings through peer-reviewed publications and international conference talks. Represent the research field in international scientific networks and advisory bodies (e.g., EERA, IEA Bioenergy). Transfer scientific findings into policy, industry, and society, and initiate and maintain strategic collaborations.

We offer

• Line management responsibility for your own working group and a voice in strategic and financial decisions at department level
• Active integration into leading national and international research networks and support in building your professional profile
• Freedom to shape your own research agenda between basic and applied sciences, embedded in strong scientific networks
• Access to excellent research infrastructure and a well-equipped technical working environment to support your research
• Active mentoring and leadership training
• Clear target agreements and regular feedback discussions to support your ongoing career development
• A supportive, flexible working environment with strong support for work-life balance, accommodating individual needs, as well as support for international staff
• A vibrant region with high quality of life and cultural diversity

Your profile

• Master's degree and PhD in industrial engineering, operations research, systems engineering, bioeconomy, energy economics, environmental science, economics or a comparable research field
• Demonstrated expertise in developing and applying mathematical optimisation and simulation models for complex resource and energy systems
• Research experience with integrated modelling of bioeconomy, biomass or energy systems
• Solid knowledge of quantitative methods, scenario analysis and decision support
• Experience in interdisciplinary collaboration and international research networks
• Excellent publication record in relation to career stage in at least one of these research fields
• Good record of third-party funding acquisition
• Experience in scientific cooperation, e.g., within project groups or scientific networks
• Experience in supervision (Bachelor, Master, and/or PhD) and/or leadership responsibilities
• Well-developed communication skills
• Excellent written and spoken English skills