Responsibilities
* Development of automated chemistry and machine‑learning approaches to investigate innovative catalytic systems, with a focus on biomass‑related areas
* Optimization of homogeneous and heterogeneous catalytic processes using high‑throughput experimentation (HTE), machine‑learning/AI‑driven models, and design of experiments (DoE)
* Hands‑on operation and reaction automation using robotic platforms (e.g., ChemSpeed) for catalyst screening and reaction optimization
* Writing high‑impact scientific publications and cooperating within the Institute of Chemistry as well as with national and international academic and industry partners
* (Co)‑supervision of Bachelor, Master, and PhD students
Qualifications
* Completed doctorate/PhD in Chemistry or Chemical Engineering
* Proven expertise in automated chemistry and AI‑driven chemistry
* Previous work experience in high‑throughput screening (HTS) and catalyst development with AI
* Solid background in homogeneous and/or heterogeneous catalysis
* Excellent programming skills (e.g., Python, R)
* Hands‑on experience with ChemSpeed or related robotic platforms for reaction automation
* Experience in applying Green Chemistry principles and metrics
* Excellent written and spoken English and a strong publication record in high‑impact journals
* Excellent communication skills and ability to work independently in a diverse, interdisciplinary team, including mentoring of PhD and Master students
Benefits
* Meaning: We offer meaningful work for the world of tomorrow
* Our internal continuing education program is as colorful as the university itself
* Collaboration: Interdisciplinary, cross‑professional opportunities to work together
* Benefits: From access to healthcare services to a zero‑emission goal
* Diversity: A working environment where diversity and inclusion are lived
* Flexibility: Flexible working time models and support for the compatibility of family and career
We offer an annual gross salary of at least €70,200.20 for a full‑time position. An overpayment based on qualification and experience is possible.
Equality Principle
The University of Graz strives to increase the proportion of women, particularly in management and faculty positions, and encourages qualified women to apply. If women are underrepresented, those with equal qualifications are generally given priority for admission. We welcome applications from persons with disabilities who meet the requirements of the advertised position.
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