Master Theses: High-Throughput Characterization of Semiconductor Materials by Computer Vision and Hyperspectral Imaging

The group “Materials Discovery” is part of the research team "High-Throughput Materials and Devices" at the Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (HI ERN). The team specializes in robot-assisted high-throughput screening of novel materials for energy applications, including:

  • Lead-free halide perovskites and perovskite-inspired materials
  • Sustainable semiconductor quantum dots
  • Multi-and single-layer 2D materials

We offer the opportunity for a Master’s thesis on a topic related to our general strategy of the development of a self-driving chemical lab for the autonomous discovery of energy materials.

The M.Sc. project will focus on one of the above material classes and one of the specific topics related to the general aim, including:

  • implementation of computer vision algorithms for high-throughput characterization of materials and processes
  • application of hyperspectral imaging for high-throughput characterization of optoelectronic semiconductor materials
  • development of machine-learning-based algorithms for analysis of spectral data

Qualifications

  • Knowledge of chemistry and chemical lab operation
  • Basic knowledge of methods of spectral characterization (UV-Vis, PL, vibrational spectroscopy)
  • Experience with programming (Python, C#, or platforms like Mathlab) and machine learning
  • Ambition, motivation, capability of self-driven work, resistance to challenges

Contact

Dr. Oleksandr Stroyuk

Researcher

    Building HIERN-Immerwahrstr /
    Room 09
    +49 9131-12538305
    E-Mail

    Further information

    Publications on the state-of-the-art

    (i) M. Reid et al., Parallel and High Throughput Reaction Monitoring with Computer Vision, Angew. Chem. Int. Ed.2025, 10.1002/anie.202413395

    (ii) T. Buonassisi, et al., High-throughput micro-scale bandgap mapping for perovskite-inspired materials with complex composition space, Nature Commun., 2025, 10.1038/s41467-025-62774-y

    Recent publications of the group

    (i) O. Stroyuk, et al., Materials Advances, 2025, 6, 4847.

    (ii) O. Stroyuk, et al., Nanoscale, 2025, 17, 16873.

    (iii) O. Stroyuk, et al., Chem. Commun., 2025, 61, 455.

    (iv) O. Stroyuk, et al., J. Mater. Chem. C, 2024, 12, 8705.

    (v) O. Stroyuk, et al., Adv. Func. Mater., 2024, 2400453.

    Last Modified: 17.09.2025