PhD Position – Benchmarking of Emerging Energy Technologies with Natural Language Processing an[...]

Forschungszentrum Jülich; Deutschland; Vor Ort; EUR 45.000 - 55.000; Vollzeit

Zusammenfassung

A leading research center in Germany seeks a motivated researcher to explore emerging energy technologies for a greenhouse gas-neutral Europe. The role involves developing energy system models and assessing innovative technologies. Ideal candidates will have a Master's degree and an interest in energy technology. This position offers excellent support for completing a doctoral degree and a collaborative work environment.

Leistungen

30 days of annual leave

Home office opportunities

Professional development courses

Christmas bonus

Qualifikationen

• Experience in energy system modelling is an advantage.
• German language skills are advantageous.

Aufgaben

• Explore integration of energy technologies into future systems.
• Support development of a European energy system model.
• Investigate conditions for future technologies' viability.

Kenntnisse

Analytical

Independent

Interest in energy technology

Fluent in English

Basic programming skills

Ausbildung

Master’s degree in natural sciences

Tools

Python

Jobbeschreibung

Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Area of research:

Promotion

Your Job:

Your research will explore the integration of emerging energy technologies into future energy systems and assess their potential contributions toward a greenhouse gas-neutral Europe. A key objective is to identify under what technical and economic conditions innovative technologies—such as fusion energy or perovskite solar cells—can be effectively incorporated into the energy system. You will support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( github.com/FZJ-IEK3-VSA/FINE ) . Furthermore, you will use and extend existing lightweight Large Language Models (LLMs) to assess future technological characteristics. Your tasks in detail:

• Using/Extending methods for the automatic generation of future energy technology scenarios based on LLMs, patent data, and scientific literature
  
• Investigating the system-level conditions under which future technologies like fusion and perovskite solar cells become viable contributors
  
• Supporting European-level technology assessments and contributing to the development of a European Energy System optimization model
  
• Providing insights to support strategic energy planning and policy development at national and European scales
  

Your Profile:

• Master’s degree in the field of natural sciences, engineering, industrial engineering or a related field of study
  
• Interest in energy technology and energy economics
  
• Experience in energy system modelling is an advantage
  
• Basic programming skills, ideally in Python
  
• Independent and analytical way of working
  
• Reliable and conscientious working style
  
• Fluent written and spoken English; German language skills are advantageous
  

Please also apply if you do not yet have all the required skills and knowledge. We may be able to teach you missing skills during your induction.

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree:

• A highly motivated working group as well as an international and interdisciplinary working environment in one of the largest research institutions in Europe
  
• Excellent scientific and technical infrastructure
  
• Continuous professional support from your scientific supervisor
  
• The opportunity to complete a doctoral thesis within 3 years through professional supervision and internal support services –time taken to submit the final thesis for the last 16 doctoral students at ICE-2: 2.7-3.4 years
  
• Best conditions for successful work in a home office
  
• 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
  
• Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: www.fz-juelich.de/en/judocs
  
• Targeted services for international employees, e.g. through our International Advisory Service
  

In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: go.fzj.de/benefits

The position is initially for a fixed term of 3 years. Pay in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60 % of a monthly salary as special payment („Christmas bonus“). The monthly salaries in euros can be found on page 66 of the PDF download: go.fzj.de/bmi.tvoed Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is available at: www.fz-juelich.de/gp/Careers_Docs

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

Further information on diversity and equal opportunities: go.fzj.de/equality

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.