Our Laboratory for Functional Polymers is offering a
PostDoc position in the field of machine learning and chemoinformatics applied to the computational exploration of near-infrared absorbing organic dyesThe aim of this project is to computationally discover and to synthesize new organic dyes with selective near-infrared photoresponse beyond the silicon band edge. Such dyes are receiving considerable interest for solar cells and optical sensing, with applications ranging from communication, biological imaging to machine vision.
We plan an integrated approach that incorporates machine learning techniques to generate a library of potential dyes, chemoinformatics to filter out promising dyes, quantum chemical methods to confirm the relevance of the analysis and chemical synthesis of the most promising candidates.The successful candidate will work in an interdisciplinary team with experience in dye synthesis, device applications, machine learning methods as well as first principle quantum chemical calculations.
To tackle these challenging objectives, we are looking for a highly motivated, creative and communicative personality that can bridge expertise between chemistry and informatics. Required qualifications include a PhD degree in chemistry, materials science or related field with a strong background in machine learning and chemoinformaticsmethods based on artificial neural networks. A basic understanding of organic chemistry is mandatory, experience with organic synthesis advantageous. We expect a track record of high-quality scientific publications. Fluency in English (written and oral) is mandatory.
The duration of this position is two years. The project will start November 1st 2018 or earlier.