Research Scientist, Electrochemical Energy Lab (EEL)
- Massachusetts Institute of Technology
- Location: Cambridge, Massachusetts
- Category: Admin-Laboratory and Research
- Posting Date: 07/20/2023
- Application Deadline: Open until filled
Job Description
RESEARCH SCIENTIST, Research Laboratory of Electronics (RLE)-Electrochemical Energy Lab (EEL), to collaborate with graduate students, postdoc fellows, and international partners to drive cutting-edge research in the field of energy storage and conversion. Will play a pivotal role in designing and applying hybrid materials to augment the functionality of energy-related research and a wide range of applications. Responsibilities include collaborating on the design and implementation of novel hybrid materials for energy storage and conversion research; collaborating on projects leveraging hybrid material design principles to develop augmented functionality across various applications; working with sponsors, international collaborators, and industry partners to drive research initiatives and establish strategic research plans; leading teams in advancing research objectives and developing and writing research proposals; conducting full-stack device fabrication and advanced characterization techniques; and writing grant proposals, drafting reports, and delivering sponsor presentations.
The EEL, led by principal investigator Yang Shao-Horn, is committed to fostering a vibrant research environment, encouraging innovation and collaboration across various fields.
REQUIRED: Ph.D. in chemistry, materials science, or related field; four years of academic or industrial research experience; proficiency with electrochemistry and surface functionalization; expertise with the synthesis of nanostructured organic and inorganic materials and crystal growth; experience with structure determination and characterization of single crystals and thin films; experience working with a diverse range of solution-processable materials, including perovskites, organics, and nanocrystals; proficiency with full-stack device fabrication and testing techniques; familiarity with physical modeling, programming, and advanced characterization methods; knowledge of advanced, ultrafast electronics and optoelectronics characterization techniques; experience with project/team management, writing grant proposal and review articles, and drafting reports and delivering presentations. PREFERRED: lab automation and machine learning experience. Job #22975
This is a one-year term appointment with the possibility of renewal.
7/20/23
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