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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