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Research in the area of AI-driven chemistry, at the interface between chemistry and computer science
Research in the area of sustainable catalysis and green chemistry
Automated high throughput catalyst screening with advanced equipment and methodology
The assembly and operation of a ChemSpeed device for catalyst development
Integration of analytical techniques with ChemSpeed device according to company guidance
Development of computer driven approaches for data processing and data mining
Database development for automated approaches in catalysis
Integration of AI/ML methods with catalyst development under guidance
Study of AI/ML methods for the development of catalytic biomass depolymerization
Preparation and writing of high impact scientific publications
Cooperation within the ‘Institute for Chemistry’ (University of Graz), Graz Technological University (TU Graz) as well as national/international collaboration with academic/industry partners
Organizational and administrative duties include primarily the maintenance of the Chem Speed device and coupled analytical and computer equipment
Writing a relevant dissertation at the University of Graz
Independent teaching of courses and participation in teaching and examination tasks of the institute of chemistrty
Supervision of students
Participation in organizational and administrative tasks as well as in evaluation measures
Your Profile
Completed master’s degree in the area of Chemistry, Chemical Engineering or related areas
Experience with sustainable catalysis and work with renewable resources
Ample laboratory experience in the sustainable catalysis and green chemistry research fields
Knowledge of synthetic organic chemistry methods related to renewable resources
Knowledge in computer-based approaches, informatics, programming
Good knowledge of several analytical techniques
Experience with advanced/automated data processing
Excellent knowledge of written and spoken English
High level of commitment and motivation for scientific work
High degree of personal responsibility and ability to cooperate
Ability to communicate and work in a team
Motivation to perform research in the area of AI-driven chemistry, in particular at the interdisciplinary interface between chemistry and computer science.
The following documents are required for a complete application:
Letter of motivation and academic CV
Complete proof of completion of the degree program required in the call for applications
Proof of the language skills, required in the curriculum, if the doctoral program is not completed in the first language.
We offer an annual gross salary of € 52,007.20 for a fulltime position.
We Offer
Meaning: 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 is 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.
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!
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.
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