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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
simulations and explore large parameter spaces. The project is particularly suited for candidates interested in statistical physics, computational physics, stochastic processes and theoretical condensed matter
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duties include designing and executing chronic in vivo and ex vivo experiments that quantify how stimulation parameters (waveform, frequency, pulse width, irradiance) map onto Ca²⁺ activation, neuropil
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development, model hosting, deep learning, LLM fine-tuning experience (e.g., with huggingface transformers and parameter-efficient methods such as LoRA/QLoRA), model evaluation experience. (Please briefly
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Classification Title: Research Assistant Scientist Classification Minimum Requirements: Ph.D. in Electrical Engineering, Computer Science, Computer Engineering, or a closely related field by
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software necessary to convert and process data (e.g. SAS, SPSS, Excel, Access, Dbase). Computer programming capability, including CATI programming software (especially for remote work), is an advantage
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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience; background in economics
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| Electrical and Computer Engineering Conducts advanced research and development in the Department of Electrical & Computer Engineering, with a primary focus on cathodoluminescence spectroscopy and the
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
degree; strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience
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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD