Postdoctoral Position in Automated Chemistry & Machine Learning (m/f/d)

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 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

Application Documents

The following documents are required for an application:

• Academic CV
• Publication list
• Brief research statement (max 1 page)
• Names of two references

We offer an annual gross salary of at least € 70.200,20 for a fulltime position. An overpayment based on qualification and experience is possible.

We Offer

About us

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!

Contact

Univ.-Prof. Dr. Katalin Barta Weissert

[email protected]

The University of Graz strives to increase the proportion of women in particular in management and faculty positions and therefore encourages qualified women to apply. In the event of underrepresentation, women with equal qualifications are generally given priority for admission. We welcome applications from persons with disabilities who meet the requirements of the advertised position.

Please note that in order to comply with the applicable data protection regulations, we can only accept applications via our web-based applicant tool for this vacant position.