Postdoctoral position in automated chemistry and machine learning for sustainable catalysis

• 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 automatization using robotic platforms (e.g., ChemSpeed) for catalyst screening and reaction optimization
• Writing of high-impact scientific publications and cooperation within the 'Institute of Chemistry' as well as national and international collaboration with academic and industry partners
• (Co)-supervision of Bachelor / Master / PhD students

• Completed doctorate/PhD in in Chemistry or Chemical Engineering
• Proven expertise in automated chemistry and AI-driven chemistry
• Previous work experience in the domain of high-throughput screening (HTS) and catalyst development with AI is required
• Solid background in homogeneous and/or heterogeneous catalysis
• Excellent computer and programming skills (e.g., Python, R) are highly beneficial
• Hands-on experience with ChemSpeed or related robotic platforms for reaction automatization is highly beneficial
• Previous experience in the application of Green Chemistry principles and metrics
• Excellent written and spoken English skills and a strong publication record in high-impact journals
• Excellent communication skills and the ability to work effectively and independently in a diverse, interdisciplinary team, including the willingness to mentor PhD and Master students

We offer an annual gross salary of € 70,200.20 for a fulltime position., We offer meaningful work for the world of tomorrow. Our internal continuing education program is as colorful as the university itself. Collaboration: With us, you'll find interdisciplinary, cross-professional opportunities to work together. Benefits: Of course, there are all the usual benefits, from A "access to healthcare services" to Z "Zero emission goal". Diversity: Besides our various scientific fields and their related issues, we offer a working environment in which diversity and inclusion are lived. Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career.

At the University of Graz, 4700 employees work together on future questions and solutions for the world of tomorrow. Our students and researchers take on the major challenges of society and share their knowledge. We work for tomorrow. Be part of it!