Join the Lab

We welcome motivated students eager to advance materials science through computation and AI.

Why Join Us?

Expert Mentorship

Receive direct guidance from Professor Kabir, who brings extensive expertise in DFT, condensed matter physics, and computational materials science gained through international research experience in Bangladesh and the USA.

International Collaboration

Work on collaborative projects with researchers from the USA, India, Turkey, and across Bangladesh. Opportunities to present at national and international conferences and co-author high-impact publications.

Cutting-Edge Computational Tools

Gain hands-on experience with state-of-the-art computational tools including VASP, Quantum ESPRESSO, VESTA, Python, and high-performance computing (HPC) environments used in world-class materials research.

Open Positions

Master's Students

Open

The lab is seeking motivated Master's students interested in computational materials science, condensed matter physics, and AI-driven materials discovery. Research projects involve Density Functional Theory (DFT), electronic structure calculations, renewable energy materials, superconducting systems, and machine learning-assisted materials screening. Students will gain experience in scientific computing, high-performance computing (HPC), and advanced computational workflows while contributing to ongoing research projects and publications.

  • Strong academic background in Physics, Materials Science, Chemistry, or a related field
  • Interest in computational materials science and quantum materials
  • Basic knowledge of quantum mechanics, solid state physics, or computational methods
  • Familiarity with Linux, programming, or scientific computing is preferred
  • Motivation to learn DFT simulations, data analysis, and AI-assisted research methods
  • Ability to work independently and collaboratively in a research environment
Express Interest

Undergraduate Researchers

Open

The lab welcomes enthusiastic undergraduate students who are interested in computational physics, materials science, and scientific programming. Undergraduate researchers will have the opportunity to participate in projects involving DFT simulations, renewable energy materials, superconductivity, and AI-driven materials screening. Students will receive training in computational tools, Linux-based research environments, and scientific data analysis while working closely with graduate students and the PI.

 Expected commitment: 8–12 hours per week (flexible depending on academic schedule)

  • Undergraduate student in Physics, Materials Science, Chemistry, CSE, or a related discipline
  • Strong interest in computational and theoretical research
  • Basic programming knowledge (Python/Linux experience is a plus)
  • Willingness to learn scientific computing and simulation methods
  • Good analytical and problem-solving skills
  • Ability to work consistently and communicate effectively within a research team
Apply

How to Apply

Send your application to alamgir.kabir@du.ac.bd

1

Prepare Documents

Prepare your CV / resume, a brief statement of interest describing your research background and why you want to join the lab, and academic transcripts.

2

Send an Email

Email Professor Kabir at alamgir.kabir@du.ac.bd with the subject line: "[Position] Application — [Your Name]"

3

Interview

Shortlisted candidates will be invited for a meeting or interview with Professor Kabir to discuss research interests, projects, and expectations.