Prashun Gorai
2 months ago
Postdoctoral Position in Computational Materials Design and Quantum Computing at Rensselaer Polytechnic Institute Rensselaer Polytechnic Institute in United States
Degree Level
Postdoc
Field of study
Chemistry
Funding
The position is fully funded through a combination of research grants and teaching assistantships. No specific stipend amount or tuition coverage details are provided.
Deadline
Apr 1, 2026
Country
United States
University
Rensselaer Polytechnic Institute

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About this position
The 3D Materials Lab at Rensselaer Polytechnic Institute (RPI) is recruiting a postdoctoral fellow for research in computational materials design and quantum computing. The lab, led by Assistant Professor Prashun Gorai, focuses on the discovery and design of new functional materials for energy and next-generation microelectronics. The postdoc will work on computational modeling of functional materials using density functional theory (DFT) and quantum computing approaches.
Applicants should have a PhD in materials science, chemical engineering, chemistry, physics, or a closely related field. Required skills include strong experience with plane-wave electronic structure codes and proficiency in Python programming. Experience with machine learning methods is desirable but not mandatory. Candidates with a primarily experimental research background are not suitable for this position.
The position is fully funded through research grants and teaching assistantships. The expected start date is March–April 2026, with some flexibility. The lab encourages applications from motivated researchers interested in pushing the boundaries of materials by design. For more information and to apply, visit the lab website or contact Dr. Prashun Gorai directly with your CV and a brief description of your research interests and career goals.
Key research areas include computational materials design, quantum computing, DFT, machine learning, and functional materials for energy and microelectronics. The opportunity is ideal for candidates seeking to advance their expertise in these fields within a collaborative and innovative academic environment at RPI.
Funding details
The position is fully funded through a combination of research grants and teaching assistantships. No specific stipend amount or tuition coverage details are provided.
What's required
Applicants must hold a PhD in materials science, chemical engineering, chemistry, physics, or a closely related field. Strong experience with plane-wave electronic structure codes and proficiency in Python programming are required. Experience with machine learning methods is desirable but not mandatory. The position is not suitable for candidates with a primarily experimental research background.
How to apply
Visit https://www.prashungorai.org/join-the-lab for details. Email Dr. Prashun Gorai with your CV and a brief description of your research interests, expertise, and career goals. Follow instructions on the lab website for application steps.
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