Postdoctoral Researcher in Quantum Algorithms
The mission of the Institute for Quantum Computing Analytics
(PGI-12) is to model and improve quantum computing systems on multiple levels. From optimal control of the hardware, over error mitigation and compilation, to application specific quantum algorithms. We focus working on interfaces between disciplines in large innovative projects that strive for the development of scalable and useful quantum computers. In a tight integration with quantum computer hardware developers, we investigate the applicability of quantum computers towards real-world applications in a hardware-software co-design paradigm.
Your Job
Within an interdisciplinary research project, you will develop and analyze quantum algorithms, demonstrating and systematically evaluating their applicability on quantum computers. Financial risk modeling serves as a concrete application domain; however, the algorithmic research is the primary focus.
- Design, implementation, and evaluation of quantum algorithms for risk assessment, based in particular on Quantum Amplitude Estimation (QAE) and related phase and amplitude estimation methods, including variational approaches
- Development and analysis of efficient oracle implementations for quantum algorithms, particularly for the input and output of classical data (block encodings, QRAM architectures, data upload procedures), to realize end-to-end quantum speedup
- Investigation and testing of adiabatic and gate-based optimization algorithms for combinatorial optimization problems, using portfolio optimization as a representative example
- Systematic benchmarking of the developed methods on available quantum hardware and hybrid QC-HPC infrastructures using emulators; evaluation of scalability, resource efficiency, and stability compared to classical HPC methods
- Assessment of quantum-computing-specific constraints such as circuit depth, gate fidelity, and hardware-related limitations regarding achievable quantum advantage
- Creation of modular, reusable algorithm libraries and reference implementations
- Leading contributions to scientific publications and conference presentations
- Supervision of doctoral and master’s theses
Your Profile
- Doctoral degree in Physics, Computer Science, Mathematics, or a comparable field
- Proven research experience in quantum algorithms and/or quantum information theory
- In-depth knowledge of quantum algorithms (ideally Quantum Amplitude Estimation or related approaches, as well as oracle implementation)
- Solid understanding of quantum complexity-theoretic foundations (circuit complexity, oracle models, speedup guarantees)
- Experience in implementing quantum algorithms on real quantum computing systems or high-quality simulators
- Ability to work independently and in interdisciplinary teams
- Strong organizational and communication skills
- Ideally, experience in software development
- Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR), ideally supported by a certificate confirming the language level. Knowledge of the German language is not mandatory but certainly appreciated
Our Benefits for You
We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities:
- Campus experience: Our research campus in the countryside creates ideal conditions for collegial exchange and sporting activities right on site. Our cafeteria offers a wide range of options—you can enjoy a relaxing lunch break with a lake view
- Fair remuneration: Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade 13-14 of the TVöD-Bund (Collective Agreement for the Public Service). All information on the TVöD-Bund collective agreement can be found on the BMI website. The monthly salaries in euros can be found on page 69 ff. of the PDF download
- Additional benefits: Benefit from attractive additional services such as a company pension scheme with employer contribution. In addition to the basic salary, there is an additional year-end bonus under the collective pay agreement amounting to 75% of a monthly salary, as well as capital-forming benefits
- Work-life balance: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible working (in terms of location) is generally available after consultation and in line with upcoming tasks and (on-site) appointments
- Vacation: You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year's)
- Knowledge & further training: Your professional development is important to us – we provide targeted, individual support
- Health & well-being: Your health is important to us. You can look forward to a comprehensive occupational health management program with a wide range of offerings - e.g., a beach volleyball court, running groups, yoga classes, and much more. In addition, our company medical service and an experienced social counseling team are available to assist you on site
- Fixed-term: The position is limited to the project end 30.09.2029.
- Career Center: You will receive explicit support with regard to your career development opportunities
- Support for international employees: Our International Advisory Service makes it easier for international employees to get started
- Successful start: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide
In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits
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.
The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options: https://go.fzj.de/womens-job-journey
Place of Employment:Jülich
Start Date: To the next possible date
Working Hours: 39 Hours / Week
Salary: Pay group 13-14 TVöD-Bund
Application Deadline: 19.07.2026
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TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The rise of Postdoctoral Researchers in Quantum Algorithms signifies a critical transition in the quantum value chain from fundamental physics to the realization of algorithmic utility. As the ecosystem moves beyond hardware-centric milestones, this role type is structurally necessary to bridge the gap between abstract computational theory and practical, hardware-constrained execution environments. By advancing the efficiency of quantum kernels and data interfaces, these researchers mitigate the systemic risk of high resource overheads that currently limit the scalability of near-term applications. Their work acts as a stabilizing force in the software stack, ensuring that theoretical speedups translate into deterministic performance gains across high-compute sectors. Market signals from major national quantum strategies emphasize that this expertise is essential for navigating the current translation gap between experimental prototypes and enterprise-ready solutions.
The quantum ecosystem is currently navigating a period of intense focus on the software-hardware interface, where the primary bottleneck to industrial adoption has shifted from raw qubit counts to algorithmic efficiency and error resilience. As hardware roadmaps mature, the sector requires specialized researchers to manage the complexity of hybrid classical-quantum workflows, which are essential for integrating quantum processing units into existing high-performance computing (HPC) infrastructures. This role type sits at the intersection of the application enablement layer and the algorithmic software layer, providing the necessary translation pathways for domain-specific problems to be mapped onto emerging quantum architectures.
Current industry dynamics are heavily influenced by the transition from Noisy Intermediate-Scale Quantum (NISQ) devices toward early fault-tolerant systems. This progression necessitates a move away from hardware-specific optimizations toward more robust, portable algorithm libraries and standardized benchmarking protocols. The scarcity of talent capable of navigating both the mathematical rigor of quantum complexity theory and the practical constraints of gate fidelity represents a significant execution risk for the broader value chain. Consequently, public-private funding cycles increasingly prioritize initiatives that can demonstrate clear, reproducible paths to quantum advantage in specific high-impact verticals.
Furthermore, the fragmentation of the quantum software stack remains a high-risk dependency. The evolution of the sector depends on the ability of researchers to develop hardware-agnostic oracles and modular architectures that can function across disparate vendor platforms. This structural layer of expertise is the primary mechanism for ensuring interoperability and reducing the long-term cost of technology adoption. By establishing rigorous verification and validation frameworks, this function provides the leverage needed to assess the true economic viability of quantum solutions before significant capital is allocated to large-scale deployment.
The capability architecture for this role type centers on the synchronization of advanced quantum information theory with the protocols of systems engineering. Mastery of the algorithmic interface layer—particularly regarding amplitude estimation and variational methods—is fundamental to ensuring that computations remain within the coherence limits of contemporary hardware. This requires a deep understanding of the integration points between high-level application programming interfaces and the underlying compilers that manage complex data upload procedures and block encodings. These capabilities are essential for optimizing the throughput of quantum-as-a-service (QaaS) platforms and ensuring that hybrid executions can handle the data requirements of production environments without disrupting established enterprise workflows. - Accelerates the deterministic transition from theoretical complexity models to industrial-grade quantum kernels
- Mitigates systemic execution risks by synchronizing long-term algorithmic research with near-term hardware roadmaps
- Facilitates the integration of quantum processing units into standardized high-performance computing environments
- Strengthens the reliability of technology strategies through the implementation of rigorous algorithmic benchmarking
- Reduces iteration friction between fundamental research breakthroughs and the deployment of scalable software libraries
- Optimizes the allocation of specialized technical talent across the interdisciplinary software-hardware interface
- Enhances the stability of the quantum value chain by providing predictable requirement frameworks for industrial partners
- Supports the scaling of computational throughput by managing the complex dependencies of hybrid quantum-classical workflows
- Improves the transparency of technology readiness levels for stakeholders in the investment and policy sectors
- Enables the structural reproducibility of quantum experiments through the standardization of architectural implementation protocols
- Protects high-capital research investments by ensuring alignment between scientific discovery and commercial scalability
- Orchestrates the convergence of academic research pathways with the practical demands of global enterprise-ready servicesIndustry Tags: Quantum Algorithms, Algorithmic Efficiency, HPC Integration, Quantum Amplitude Estimation, NISQ Benchmarking, Fault Tolerant Transition, Hybrid Quantum-Classical, Data Oracle Design, Quantum Information Science
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