We are open to students and researchers from various fields to join our team and contribute to cutting-edge research in cardiovascular biomechanics, computational fluid mechanics, soft-tissue modeling and material characterization, PINN Modeling and AI applications in computation, imaging or VR Modeling.

If you are a student or researcher interested in pursuing a Master's or PhD in Computational Science and Engineering, we encourage you to apply.

🎓 Master’s and PhD Opportunities in Computational Science and Engineering (HBM)

We are currently accepting applications for students interested in pursuing a Master's (MSc) or Doctoral (PhD) degree in Computational Science and Engineering Program within ITU Informatics Institute.

Additionally, students from various engineering disciplines are encouraged to apply. Our research group is particularly suited for graduates in Mechanical, Aerospace, Naval, Civil, Biomedical, Electrical, Computer, Mathematics, and Physics Engineering, especially those with an interest in advanced numerical modeling.

For more information on how to apply, please visit the Graduate School (LEE) website: Graduate School Website

🤝 Voluntary Research Opportunities

If you are passionate about learning and gaining hands-on experience, you are welcome to join as a volunteer.

To apply, please send your CV along with a brief statement outlining the areas you would like to work on to: computinglab@itu.edu.tr

📚 For Undergraduate Students

Undergraduate students who are interested in our research are encouraged to follow STAR announcements for internship and research assistant opportunities.

We are also currently seeking interns and volunteer undergraduate students who are eager to contribute to ongoing projects and gain hands-on research experience in a dynamic academic environment.

🔬 Current Research Areas

  • Fluid Dynamics (OpenFOAM, ANSYS Fluent, etc.)
  • Finite Element Method (FEM)
  • Medical Image Segmentation (3D Slicer, VTK, Python, etc.)
  • Developing VR Applications
  • AI, Machine Learning, and Deep Learning applications

We look forward to welcoming motivated individuals who are eager to contribute to meaningful scientific discoveries.