At the Systems Research Institute of Tufts University, we anticipate an opening for a new postdoctoral fellow starting in early September. The position will be funded by two of the largest pharmaceutical
companies. The selected fellow will continue work that has taken place over the last three years by Dr. Yachao Dong. This resulted in several publications (see below).
We would like to invite potential candidates to submit an application, which should include their CV, a list of three references and a cover letter explaining why they believe they are the best
candidate for this position. Please submit this information before July 10.
In the first phase of the project, we made substantial progress in developing data-driven models for the accurate representation of time-resolved concentration measurements from a set of experiments
involving small molecule pharmaceutical reactions. We have made progress in defining tests that judge whether a candidate stoichiometry is in agreement or is refuted by the DRSM models. Using the DRSM models, we have also calculated the optimal operating
conditions of said reacting system.
In the next phase of the project, we will concentrate on the automatic discovery of all possible reaction stoichiometries in agreement with the DRSM models of the measured species. This will be
followed by a very systematic discovery of all kinetic models that are not refuted by the collected data. If needed, additional experiments will be designed to discriminate between rival kinetic models.
The desired candidate should have a Ph.D. degree in chemical engineering or related field, strong mathematical background, and experience in modeling, optimization,
or other important areas of Process System Engineering. We are looking for a candidate with substantial independence who is not inhibited from undertaking initiative. We put significant weight on the intellectual capacity of the person we will select. For
this reason, we are flexible on the start date. It could be as early as September 1 and as late as December 1. Please email your requested credentials to
[log in to unmask] by July 10. The initial appointment is for one year and renewal of appointment for one or
two additional years is dependent on progress and the availability of funds.
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Klebanov, N., and C. Georgakis. 2016. “Dynamic Response Surface Models: A Data-Driven Approach for the Analysis of Time-Varying Process Outputs”, Ind.
& Eng. Chem. Res., 55: 4022-34. => DOI: http://doi.org/10.1021/acs.iecr.5b03572
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Wang, Z. Y., and C. Georgakis. 2017. “New Dynamic Response Surface Methodology for Modeling Nonlinear Processes over Semi-infinite Time Horizons”, Ind.
& Eng. Chem. Res., 56: 10770-82. => DOI: http://doi.org/10.1021/acs.iecr.7b02381
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Dong, Y. C., C. Georgakis, J. Mustakis, J. M. Hawkins, L. Han, K. Wang, J. P. McMullen, S. T. Grosser, and K. Stone. 2019. ‘Constrained Version of the Dynamic Response Surface Methodology
for Modeling Pharmaceutical Reactions’, Ind. & Eng. Chem. Res., 58, (30): 13611-21. => DOI: http://doi.org/10.1021/acs.iecr.9b00731
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Dong, Y. C., C. Georgakis, J. Mustakis, J. M. Hawkins, L. Han, K. Wang, J. P. McMullen, S. T. Grosser, and K. Stone. 2019. ‘Stoichiometry identification of pharmaceutical reactions
using the constrained dynamic response surface methodology’, AICHE J., 65 (11) => DOI: http://doi.org/10.1002/aic.16726
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Santos-Marques, J., C. Georgakis, J. Mustakis, and J. M. Hawkins. 2019. “From dynamic response surface models to the identification of the reaction stoichiometry in a complex pharmaceutical
case study”, AIChE J., 65 (4): 1173-85. => DOI: http://doi.org/10.1002/aic.16515
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Dong, Y. C., C. Georgakis, J. Mustakis, L. Han, and J. P. McMullen. 2020. “Optimization of Pharmaceutical Reactions using the Dynamic Response Surface Methodology”, Comp.
& Chem. Eng., 135: 106778. => http://doi.org/10.1016/j.compchemeng.2020.106778
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Professor Christos GEORGAKIS Chemical and Biological Engineering Director, Systems Research Institute,
TUFTS UNIVERSITY |
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