Postdoctoral Position in Automated Chemistry & Machine Learning

Postdoctoral Position in Automated Chemistry & Machine Learning

University of Graz

Graz, Austria

€ 70,200.20 per year gross

Your 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 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

Your Profile

• Completed doctorate/PhD 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