We are actively seeking motivated B.Tech and M.Tech students to join our research group and contribute to projects in the fields of neuromorphic computing, hardware security, and nanoelectronic device modeling. Our group offers a dynamic and collaborative environment where students can develop their skills and make significant contributions to advanced research.
For B.Tech Students:
Students will have the opportunity to work on projects related to spintronic devices, resistive RAM, and other emerging technologies. These projects will involve hands-on experience with simulation tools, and data analysis. B.Tech students will gain exposure to advanced research methodologies and will be encouraged to develop their own research ideas. Students will enhance their technical skills in programming, simulation, and modeling, as well as their understanding of the fundamental principles of nanoelectronics and neuromorphic computing.
For M.Tech Students:
M.Tech students will have the opportunity to engage in specialized and in-depth research projects, contributing to the development and optimization of nanoelectronic devices and neuromorphic architectures. They will be encouraged to write code in Python and C++ for device modeling, post-processing data analysis, and neural network simulation. Additionally, students will have the chance to collaborate with senior researchers, gaining valuable insights into advanced topics in device modeling and neuromorphic computing.
Benefits:
Students will receive guidance and support throughout their projects.
They will be encouraged to publish their research findings in reputed journals and present their work at conferences.
Participation in advanced research projects will enhance students' resumes and prepare them for successful careers in academia, industry, or research institutions around the world.
We welcome applications from self-motivated students with a strong academic background and a keen interest in advancing the field of nanoelectronics and neuromorphic computing. Interested students can email their CV to Prof. Debasis Das, along with a brief description of their research interests and potential project ideas they would like to pursue.
We are seeking dedicated and innovative Ph.D. candidates to join our research group and contribute to pioneering advancements in the fields of neuromorphic computing, hardware security, and nanoelectronic device modeling. Our research group offers a stimulating and collaborative environment where candidates can engage in cutting-edge research and develop expertise in their chosen areas.
Research Focus: Ph.D. candidates will undertake in-depth research projects that explore and develop new concepts in spintronic devices, and other emerging technologies. Our research spans multiple disciplines and involves advanced computational techniques, device modeling, and designing new algorithms for training neural networks. Candidates will have the opportunity to work on the following areas:
Device Modeling and Simulation: Utilizing advanced modeling techniques and micromagnetic simulations, to investigate the properties and behaviors of nanoelectronic devices.
Designing devices for artificial neurons and synapses: By leveraging the unique properties of emerging devices, candidates will design devices that will be able to replicate the complex functionalities of biological neurons and synapses.
Neuromorphic Computing: Designing hardware that can perform complex tasks such as pattern recognition, real-time data processing, and autonomous decision-making with the efficiency and adaptability of the human brain.
Algorithm-Device Co-Design: Integrating device characteristics with neural network algorithms to create efficient and scalable neuromorphic architectures.
Edge Computing: Developing low-power, high-performance devices suitable for deployment in portable and resource-constrained environments.
Expectations: Ph.D. candidates are expected to exhibit a high level of academic excellence and research capability, contributing original ideas and innovative solutions to the field. They should possess the ability to think independently and drive their research projects forward with creativity and innovation. Additionally, candidates are required to have strong communication skills and proficiency in English, enabling them to effectively discuss their research ideas and findings with fellow researchers within the group and with collaborators worldwide.
Eligibility: A Master's degree (M.Tech, M.E., or equivalent) in Electronics Engineering, Physics, Materials Science, or a related field from a recognized institution. Exceptional candidates with a Bachelor's degree (B.Tech, B.E., or equivalent) in relevant fields who demonstrate outstanding academic performance and research potential may also be considered.
Experience and Technical Skills: Prior research experience in areas related to nanoelectronics, spintronics, neuromorphic computing, or device modeling is highly desirable. Candidates should have sound knowledge of at least one of the programming languages such as Python, C, C++, or MATLAB for device modeling, data analysis, and neural network simulation. Candidates with publications in reputable journals and conferences will be given preference.
Application Procedure: Interested candidates are requested to send an email to Prof. Debasis Das, attaching the following documents-
CV: A detailed curriculum vitae highlighting academic achievements, research experience, and technical skills.
Statement of Purpose: A statement of purpose outlining research interests, career goals, and potential research problems to be explored during the Ph.D. program.
We are seeking highly qualified and motivated Postdoc candidates to join our research group, contributing to pioneering advancements in neuromorphic computing, hardware security, and nanoelectronic device modeling. Our group provides an intellectually stimulating and collaborative environment where postdoctoral researchers can thrive and advance their careers through innovative research. Postdoc candidates will engage in high-impact research projects that span a variety of cutting-edge topics. They are encouraged to bring forth new and innovative ideas that complement our existing research thrust.
Expectations: Postdoc candidates are expected to have in-depth knowledge of their research topics. They should possess the ability to think independently and lead a team. They should have the potential to find a problem in their respective field of research and propose a solution to tackle that problem. Additionally, candidates are required to have excellent communication skills and proficiency in English, enabling them to effectively discuss their research ideas and findings with fellow researchers within the group and with collaborators worldwide.
Eligibility: A Ph.D degree (awarded or at least thesis submitted) in Electronics Engineering, Physics, Materials Science, or a related field from a recognized institution.
Experience and Technical Skills: Candidates applying for the postdoctoral position should meet the following essential qualifications:
Programming Skills: Applicants should possess proficiency in at least one programming language, such as Python, C, C++, or MATLAB, essential for device modeling, data analysis, and neural network simulation. Candidates interested in spintronics research should also demonstrate extensive familiarity with numerical techniques for solving LLGS equations and be capable of scripting in OOMMF or MuMax3.
Publication Record: Demonstrated ability with multiple peer-reviewed publications in highly reputed international journals, showcasing strong research capabilities and contributions to their field of expertise.
Conference Participation: Experience presenting research findings at least one international conference, highlighting effective communication skills and engagement within the academic community.
These qualifications are essential to ensure candidates can contribute effectively to our research group's dynamic and collaborative environment.
Application Procedure: Interested candidates are requested to send an email to Prof. Debasis Das, attaching the following documents-
CV: A detailed curriculum vitae highlighting academic achievements, research experience, and technical skills.
List of Publications: A detailed list of journals and conference publications, highlighting the journal name and impact factor.
Research Statement: A research statement outlining previous research accomplishments, current research interests, and future research goals.
List of the Referees: Information on three referees, including their names, designations, affiliations, and official email IDs. One referee must be the candidate's Ph.D. supervisor. Referees should preferably be from the same institution or industry where the candidate conducted his/her previous research.