Postdoctoral Fellow: Computational Neuroscience

Institution:
Morgan State University, Baltimore, MD, USA

Project:
Digital twins for the therapeutics of gestational diabetes (NIH-funded: OTA-26-004)

Position Summary:

We are seeking a highly motivated Postdoctoral Fellow to contribute to the computational modeling of hypothalamic neuronal excitability and metabolic adaptation as part of an NIH-funded digital twin project. This research focuses on the complex neuronal networks modulated by metabolic and placental hormones during pregnancy. The successful candidate will drive a crucial phase of our multi-aim workflow, constructing mechanistic models that capture how circulating hormones alter the excitability of feeding circuitry to regulate glucose control and energy balance across healthy, obese, and diabetic maternal cohorts.

• Ph.D. in Neuroscience, Mathematical Biology, Applied Mathematics, or a closely related discipline.
• Proven expertise in building mechanistic mathematical models of neuronal excitability (e.g., Hodgkin-Huxley or network conductance models).
• Advanced proficiency in MATLAB/Python programming for computational model development.
• Strong track record of independent research and peer-reviewed scientific publications.

• Background in neuroendocrinology, hypothalamic circuitry, or metabolic regulation (e.g., glucose homeostasis).
• Experience aligning complex computational models with variable clinical datasets, such as blood titration data or hormone profiles.
• Ability to work in a collaborative, multi-disciplinary team setting encompassing systems biology, genetics, and clinical data collection.