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You will be updated with latest job alerts via emailAs the Glorius Group at the University of Mnster we are a team of passionate researchers committed to shaping the future of molecular science. Our research bridges catalysis functional molecule design molecular machine learning and data-driven discovery to address pressing scientific challenges. We are pioneers in the application of data sciences to organic chemistry challenges with over 15 years of interdisciplinary research. Our data science team develops smart screening strategies and machine learning tools to accelerate reaction discovery & analysis thereby improving chemical understanding. With a strong publication record and a collaborative spirit we offer an inspiring environment for postdoctoral researchers aiming to grow scientifically. We love science innovation and shaping the future of digital chemistry together with you
The AI4Mol project part of the NEXT IN NRW initiative is a cutting-edge collaboration between the University of Mnster its spin-off ChemInnovation and Lab25 as experts for UI/UX. It aims to revolutionize molecular structure elucidation by tailoring advanced machine learning techniques to mass spectrometry.
The project will combine explainable AI human-in-the-loop strategies and model contextualization to push the boundaries of automated chemical data interpretation. Part of the project will be the analyzation of mass spectrometric data e.g. by unsupervised learning the development of novel dual-input models researching methodologies for uncertainty estimation as well as studies on the human perception of a models prediction. While being free in choosing approaches & topics of your studies the interdisciplinary setup ensures direct translation of your fundamental research into industrial applications. With access to high-end GC-MS infrastructure and a GPU/CPU cluster the project offers a unique environment for impactful innovation.
As a Postdoctoral Researcher at the Glorius Group (University of Mnster) you will lead the design development and evaluation of machine learning models for structure elucidation. Goal is to yield machine learning models capable of reacting on (chemical) inputs from users while having a clean and understood uncertainty allowing for true human-machine interaction and therefore ideal structure elucidation.
Your work will range from analysing the chemical spaces of mass spectrometric data over designing explainable AI systems implementing multi-input model architectures to the development of methods for uncertainty quantification. Since broad training test and applicational data is available the role involves (virtual) data generation and augmentation as well as benchmarking.
You will collaborate with researchers from ChemInnovation as well as UI/UX experts from Lab25 to test your methodologies in the field while ensuring high applicational impact. Within the Glorius Group you will be embedded within the subgroup for molecular machine learning while the high interdisciplinary of the group allows you to interact with researchers from various fields of wet chemical research.
The University of Mnster strongly supports equal opportunity and diversity. We welcome all applicants regardless of sex nationality ethnic or social background religion or worldview disability age sexual orientation or gender identity. We are committed to creating family-friendly working conditions. Part-time options are generally available.
We actively encourage applications by women. Women with equivalent qualifications and academic achievements will be preferentially considered unless these are outweighed by reasons which necessitate the selection of another candidate.
Have we aroused your interest Then we look forward to receiving your application by .
Applications should include in a short statement of your research experience and interests a CV including a list of publications and the names and contact information of two possible references. Please feel free to contact Prof. Dr. Frank Glorius at any time if you have additional questions.
Universitt Mnster
Organisch-Chemisches Institut
Prof. Dr. Frank Glorius
CorrensstraeMnster
Phone:
Email: See Website
Full Time