Vidushi Sharma

Department

Accelerated Materials Discovery

Job Title

Staff Research Scientist

INSTRUCTION LANGUAGES

English

PERSONAL BIO

Vidushi Sharma (Ph.D.) is a Computational Material Scientist with domain expertise in the fields of energy storage and nanomedicine. Currently, she is a Staff Research Scientist at the IBM Almaden Research Center, San Jose, California, where she performs incisive research in the field of Energy Storage, based on next generation themes such as artificial intelligence driven discovery of new battery materials (electrolytes and electrodes), development of new artificial intelligence algorithms for complex materials (foundation models for mixtures, heterostructures and composites), and application of quantum computing in material discovery. Dr. Sharma completed her Ph.D. in Mechanical Engineering (with focus on computational material science) at New Jersey Institute of Technology (NJIT), USA. She has authored 30+ research papers, and several of her works are featured in major media outlets.

WORK EXPERIENCE AND AWARDS

Staff Research Scientist, IBM Almaden Research Center, USA (2023-present)
Postdoc, IBM Almaden Research Center, USA (2021-2022)
Research Assistant, NJIT, USA (2017-2021)
Intern, Center for NanoScience and Nanotechnology, India (2014)
Intern, Indian Institute of Technology, Roorkee, India (2013)

Award

Gold Medalist at M.Tech in Molecular Engineering and Advanced Chemical Analysis
Outstanding Research Accomplishment Award at IBM
Received Award for magazine article on ‘Biocompatibility of Nanorobots’ published inGBiofin, India
Recipient of MHRD Fellowship during Masters

EDUCATIONAL BACKGROUND

Ph.D. in Mechanical Engineering, New Jersey Institute of Technology, USA
Master in Molecular Engineering and Advanced Chemical Analysis, National Institute of Technology-Kurukshetra, India
Bachelor in Biotechnology, Banasthali University, India

VacancIES

Brief Introduction of the Department

IBM Research has a dedicated focus on Accelerated Discovery of Sustainable Materials, and one facet of that work is an active research effort in energy storage, particularly batteries. The work is primarily centered at IBM Research – Almaden in San Jose, CA, in collaboration with IBM’s global research team. We combine both experimental and cutting-edge computational technologies including artificial intelligence to explore, develop, and validate new, more sustainable battery materials and chemistries capable of supporting clean transportation and renewable energy infrastructure.

Department Staff Number

More than 10 people

Internship Job Description

We are seeking a highly motivated and talented undergraduate or graduate student to join our research team focused on developing innovative battery technologies using generative AI. This internship will provide you with a unique opportunity to contribute to cutting-edge research and gain hands-on experience in the field of AI and materials science. The intern will work on a research project with the objective to fine-tune a Large Language Models (such as LLaMA or equivalent) for predicting suitable electrolytes for a given anode-cathode system in battery applications. By leveraging the power of LLMs, we aim to expedite the electrolyte selection process and enhance the performance and safety of battery technologies. The project would constitute data collection on anode-cathode combinations and their compatible electrolytes, fine-tuning the appropriate LLM on the curated dataset using techniques like transfer learning and prompt engineering, and developing the prediction framework. The intern will collaboratively work with lab scientists to experimentally validate and demonstrate the successful application of LLMs in energy storage applications.

Preferred Intern Education Level

Undergraduate students (third year and above)
Master students
Doctoral students

Preferred Intern Skill Sets or Qualities

Coding skills in Python and libraries like Tensorflow, Pytorch
Basic understanding of machine learning
Strong interest in generative AI and large language models

Internship Period

From June 16 to September 5, 2025 (adjustable at the discretion of the organisation)

Others

Expected working hours per week: 40 hours
This internship position will be in San José
Salaries (stipends) will not be provided
Benefits will not be provided
The DS-2019 fee will be covered by IBM Research or NTU. Students are responsible for the VISA application fee.
※ Taiwanese admittees will have opportunities to be subsidized by 「教育部學海築夢」 scholarship.