Unlock the potential of quantum computing to transform chemistry and materials science. We are seeking a skilled researcher to join our team in developing innovative methodologies for understanding and predicting molecular and material properties.
This exciting opportunity allows you to work at the intersection of quantum computing, cheminformatics, and applied machine learning to tackle complex challenges in drug design, catalysis, and energy materials.
Job Description
* Conduct cutting-edge research combining quantum computing and ML-driven cheminformatics for molecular modeling and property prediction.
* Develop and apply machine learning models to accelerate molecular and materials discovery in areas such as drug design, catalysis, and energy materials.
* Ph.D. in cheminformatics, computational chemistry or physics, chemical or materials engineering, or closely related fields with a strong focus on ML methodologies for molecular modeling or materials discovery.
* Hands-on experience developing and applying machine learning models to solve real-world problems in cheminformatics, drug design, or materials science.
Benefits:
* Opportunity to shape the future of quantum-driven cheminformatics in a highly interdisciplinary and innovative environment.
* Collaborative team environment working with experts in quantum computing, cheminformatics, and applied machine learning.
Other Opportunities:
* Publish research findings through internal reports, peer-reviewed publications, and conference presentations.
Note: We provide equal employment opportunity for all applicants and employees. We do not unlawfully discriminate on the basis of any protected characteristic.