In Carnegie Mellon University's Department of Mechanical Engineering (MechE), faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary research centers across the university.
We are seeking a Postdoctoral Research Associate to join the Viswanathan Lab in Mechanical Engineering. In this role, you will carry out advanced independent and/or directed research to achieve the objectives of the research project. This position will require an in depth knowledge of a specialized field, process, subject area and may involve coordinating and implementing sophisticated research plans, the development of methods of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. You will acquire the professional skills needed to pursue a career path of your choosing. The position will be responsible for work on modeling of current and next generation batteries.
The research focus for the Viswanathan lab is identifying the scientific principles governing material design, inorganic, organic, and biomaterials, for novel energy conversion and storage routes. The material design is carried out through a suite of computational methods being developed in the group, and validated by experiments. Some key research thrusts include identifying principles of electrolytes design (organic material) that can tune electrode catalysis, identification of new anode, cathode (inorganic materials), and electrolyte materials for next generation batteries, and new electrocatalysts (inorganic) and biomaterials for energy storage and separation applications. In addition to material design, the group is involved in several cross-cutting areas such as battery controls, electric vehicle security, and GPU accelerated computing.
Core responsibilities include:
- Develop and analyze models for current Li-ion batteries.
- Develop models for next-generation Li-ion batteries and extend these models to incorporate machine learning.
Are you interested in this opportunity? Please apply!
Flexibility, partnership, excellence, and passion are vital qualities within Carnegie Mellon. Inclusion, collaboration and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who is able to optimally work well with a dynamic population of partners at a high level of integrity. We are looking for someone who shares our values and who will support the university through their work.
- Doctorate degree required
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