Open positions on Smart Biomanufacturing and Biofoundries
We look for postdoctoral and predoctoral (PhD fellow/student) candidates to work at Universitat Politècnica de València on Smart Biomanufacturing and Biofoundries. The goal is to improve the efficiency of the automated Design-Build-Test-Learn (DBTL) cycle for microbial production processes by using machine learning, predictive modeling and optimal design of experiments (Otero-Muras et al. Metabolic Engineering, 2021 https://doi.org/10.1016/j.ymben.2020.11.012, Boada et al. iScience, 2020 https://doi.org/10.1016/j.isci.2020.101305).
Candidates are expected to contribute to the development of sustainable solutions for bio-based production of therapeutics, food, nutrition and materials; to contribute to the development of standards for exchange of design information and experimental data in close interaction with experimentalists and the development of predictive models through statistical modeling and machine learning. For more information see our publications: https://www.carbonelllab.org/publications.
Candidates will hold or expect to achieve a PhD in Bioinformatics / Systems Biology / Industrial Engineering / Computer Science / Biomedical Engineering / Synthetic Biology / Biochemistry / Bioengineering / Chemical Engineering (or a related subject area), and have technical skills in computer programming and knowledge or willing to learn about postgenomic data analysis, metabolic modelling, statistics, and systems biology.
Interested candidates please send a letter of motivation and your resume to email@example.com. Informal enquiries are welcome.