University Assistant Post-Doc (all genders)

At the Institute of Computer Engineering, in the Research Unit of Computational Sustainability TU Wien is offering a position as university assistant post-doc (all genders) limited to expected 6 years for 40 hours/week.

Tasks:

Deep interest in scientific problems and the motivation for independent and goal-oriented research
Independent teaching or participation in teaching and supervision of students
The ability to develop methods, concepts, as well as their realization and evaluation and the willingness to contribute in interdisciplinary scientific projects
Participation in organizational and administrative tasks of the research division and the faculty

Your profile:

Completion of an appropriate doctorate and in-depth knowledge of the subject in at least two of the following areas:
Area 1: Computational Sustainability, including, but not limited to energy-efficient computing and sustainable IT infrastructures; hardware energy profiling and optimization; cooling optimization and thermal management in data centers; energy-aware resource allocation in data centers; cloud and edge environments; carbon-aware workload placement and scheduling
Area 2: Cloud and Edge Computing, including, but not limited to: task offloading and scheduling across the computational continuum (device → edge → cloud); energy- and carbon-aware orchestration of distributed systems; decentralized monitoring and diagnosis in dynamic environments; autonomic and self-adaptive management using control-theoretic and AI-driven approaches
Area 3: High-Performance Computing (HPC), including, but not limited to: HPC resource allocation and optimization strategies; scheduling and workload management in large-scale systems; fault tolerance and reliability mechanisms for HPC environments; virtualization and containerization for HPC workloads
Area 4: Hybrid Quantum–Classical Computing, including, but not limited to: system integration and co-design of quantum processing units (QPUs) with CPUs, GPUs, and FPGAs; variational Quantum Algorithms (VQAs), such as VQE and QAOA; hybrid machine learning algorithms (e.g., quantum neural networks with classical optimizers); quantifying classical overhead (e.g., data preprocessing, calibration, cryogenic control); energy-efficient orchestration between classical and quantum subsystems
Experience in national and international research cooperation as well as in project management and presentations
Top publications in leading conferences and/or journals
Experience in teaching and publication activities as well as interest and pleasure in research and work/support with students
Organizational and analytical skills as well as a structured way of working
Very good skills in English communication and writing; Knowledge of German (level B2) or willingness to learn it

We look forward to receiving your application until January 1, 2026 on our job platform:
https://jobs.tuwien.ac.at/Job/260774