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Machine-Learning Based Molecular Dynamics of Biotherapeutics

Project Description

We are seeking a highly motivated postdoctoral candidate to work on an exciting joint project focused on the machine-learning guided design of advanced biologic therapies. The position will be joint between the Ardekani and Schneebeli laboratories in the Departments of Industrial & Molecular Pharmaceutics and Mechanical Engineering. The Ardekani and Schneebeli research groups are both focused on advancing the formulation and delivery of innovative new drug modalities with combined experimental and computational techniques. In this joint project, these lines of research will be further advanced by integrating machine learning into the discovery/development pipeline.

Start Date

February 2026

Postdoc Qualifications

Applicants should have a Ph.D. in Engineering, Computational Chemistry, Analytical Chemistry, Pharmaceutics, Biochemistry, Biophysics, Computer Science, and related fields. Desirable skills include a good understanding of molecular structures and force field methods, molecular dynamics simulations, basic programming skills, solid doctoral publication record, good verbal and written communication skills, and an ability to work effectively in a teamwork environment with collaborators from different disciplines. Prior experience with machine learning or Python programming will be a plus.

Co-advisors

Arezoo Ardekani, Mechanical Engineering
ardekani@purdue.edu, https://engineering.purdue.edu/ComplexFlowLab/

Severin T. Schneebeli, Organic Chemistry, Industrial and Molecular Pharmaceutics
schneebeli@purdue.edu, https://www.schneebelilab.org/

Bibliography

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  2. Frederick MD, Gejji RM, Shepherd JE, Slabuagh CS (2024) “Reactive processes following transverse wave interaction”, Proceedings of the Combustion Institute.
  3. Wan K, Webb AM, Saltzman AJ, Travis RL, Manin J, Pickett LM, Egeln AA, Voskuilen TG, Arienti M, Houim RW, Meyer TR, Guildenbecher DR (2025) "Megahertz rate optical diagnostics of explosively generated soot," Propellants, Explosives Pyrotechnics.
  4. Chen Y, Cenker E, Richardson DR, Kearney SP, Halls BR, Skeen SA, Shaddix CR, Guildenbecher DR (2018) "Single-camera, Single-shot, Laser-induced Incandescence Decay Imaging," Optics Letters,.
  5. Plaehn, EW, Walters, IV, Gejji, RM, and Slabaugh, CD (2023) "Bifurcation in Rotating Detonation Engine Operation with Continuously Variable Fuel Injection Location," Journal of Propulsion and Power