Postdoc - Quantum Optimization in Energy Systems
vor 5 Monaten
At the Institute of Energy and Climate Research - Energy Systems Engineering (IEK-10) we focus on the optimal design and operation of integrated energy systems with a high share of renewable energy. Computer simulation and optimization are our essential tools to arrive at sustainable, reliable, and cost-effective solutions. The Optimization and Machine Learning department at IEK-10 applies and develops optimization methods in energy systems engineering. Our expertise covers (deterministic) global optimization, stochastic programming, bilevel optimization, and dynamic optimization. A particular focus of our work is the combination of numerical optimization and machine learning (ML). We develop ML-based surrogate models and algorithms for parallel and heterogenous computing architectures.
**Your Job**:
Quantum optimization (QO) is a promising, potentially disruptive technology for solving difficult optimization problems which is at the heart of energy system design and operation. While illustrative, energy-related examples (e.g., unit commitment) have been ported onto quantum computers, the potential of QO for energy systems engineering, especially with respect to the design and operation of multi-carrier energy networks, remains largely unknown. Our goal is to identify design and operational problems for which efficient quantum formulations and hybrid quantum-classical algorithms can be derived and to analyze scalability and relative performance of quantum-(assisted) optimization compared to state-of-the-art classical optimization. To this end, we will perform extensive computational experiments on the Jülich D-Wave quantum annealer and on a gate-based quantum computer over the cloud. We are supported by our project partners and quantum computing experts at the Jülich Supercomputing Centre (JSC) and the Peter Grünberg Institute - Institute for Quantum Computing Analytics (PGI-12). Your Tasks in Detail:
- Develop QO formulations for energy system design and operation
- Perform and analyze computational experiments on quantum computing hardware
- Analyze performance and scalability of QO and compare to classical optimization
- Develop hybrid quantum-classical algorithms for mixed-integer and constrained problems
- Closely work together with our project partners and become part of an interdisciplinary team
- Disseminate your results in renowned journals and at international conferences
**Your Profile**:
- Very good Master’s and subsequent PhD degree in computational engineering, simulation science, physics, applied mathematics or a relevant discipline
- Expert knowledge in optimization; experience in quantum optimization is desired
- Experience in process/energy systems engineering is an advantage
- Strong programming skills (e.g., Python, Matlab, C/C++)
- Excellent skills in spoken and written English
- Excellent organizational and time-management skills
- Strong ability to work independently
- Excellent cooperation and communication skills and commitment to work as part of a team
**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 support you in your work with:
- A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
- A highly motivated, interdisciplinary research group in one of the biggest research centers in Europe
- Supervision by Prof. Alexander Mitsos, Director at IEK-10 and Head of the Institute of Process Systems Engineering (AVT.SVT) at RWTH Aachen University
- An excellent scientific and technical infrastructure (e.g., the Jülich D-Wave Quantum Annealer)
- Further development of your personal strengths, e.g., through an extensive range of training courses
- Flexible work (location) arrangements, e.g., remote work
- 30 days of annual leave and provision for days off between public holidays and weekends (e.g., between Christmas and New Year)
- A full-time position with the option of slightly reduced working hours
Targeted services for international employees, e.g., through our International Advisory Service
This is a 2-year appointment, with the possibility of a 1-year extension based upon satisfactory performance and availability of funding. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund) depending on the applicant’s qualifications and the precise nature of the tasks assigned to them.
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