Yuan Ze University

Optoelectronic device laboratory

Balaji Gururajan
https://sites.google.com/view/tftlabyzu/home?authuser=1

Research Field

Optoelectronic Engineering

Introduction

Assistant Professor Balaji Gururajan received his PhD in Thin-Film Physics from Anna University, Chennai, India, in 2020. From March 2021 to January 2023, he worked as a Postdoctoral Researcher at Yuan Ze University, Taiwan, supported by the Ministry of Science and Technology (MOST), where his research focused on Type-II superlattice (InAs/GaSb) structures grown by Molecular Beam Epitaxy for infrared photodetector applications.

Since February 2023, he has been serving as a full-time Assistant Professor at the College of Electrical and Communication Engineering, Yuan Ze University, Taiwan, and currently also holds the role of Director of International Affairs for the college. His research interests span thin-film and semitransparent solar cells, transparent photovoltaics, and photodetectors covering UV, IR, and X-ray spectral regions, with strong emphasis on oxide, chalcogenide, and 2D material systems.

Dr. Gururajan has extensive hands-on experience in vacuum-based thin-film deposition techniques, including RF/DC sputtering, Molecular Beam Epitaxy, sulfurization processes, and interface engineering, as well as device fabrication and characterization. His current research includes research work focusing on Cu-based delafossite oxides, 2D heterostructures (WS₂–MoS₂), and transparent device architectures for next-generation optoelectronic and energy-harvesting applications.

He has published his research in 25+ international peer-reviewed journals and actively collaborates with academic and industrial partners across Taiwan, India, Europe, and Southeast Asia. His group welcomes motivated international interns and researchers interested in materials synthesis, device physics, and experimental optoelectronics, offering a research-intensive environment with strong mentorship and exposure to Taiwan’s semiconductor research ecosystem.

The Thin Film Laboratory focuses on both device simulation and experimental fabrication of optoelectronic devices, including thin-film and transparent solar cells, photodetectors, and emerging semiconductor devices. The group actively uses SCAPS-1D, and related simulation tools to study device physics, interface effects, and performance optimization. 

The laboratory provides strong hands-on training in thin-film deposition and device fabrication, with particular emphasis on RF/DC sputtering-based synthesis, post-deposition processing, and device integration. Students and interns are trained to independently operate deposition systems and follow clean experimental protocols.

For materials and device characterization, the lab has access to a wide range of facilities, including UV–Vis spectroscopy, Hall-effect measurement systems, atomic force microscopy (AFM), and standard electrical and optoelectronic measurement setups, enabling comprehensive analysis of thin-film properties and device performance.

The research group currently consists of one PhD student, 2 master’s students, and 4 undergraduate researchers, offering a collaborative and mentorship-driven environment for visiting interns and international researchers interested in experimental optoelectronics and materials science.


Research Topics

Kesterite solar cells

Transparent solar cells

UV photodetectors 


Honor

2023-2024, Best EMI Professor award , Yuan Ze University 

Jan 2024 & Jan 2025, Best Departmental service award, Yuan Ze University 

April 2021, MOST Postdoctoral Research Fellow Grant (NSTC, Taiwan). 

March 2020, DST Travel Grant (Govt of India) to attend workshop in France.

April 2019, DST Travel Grant (Govt of India) to attend MRS meeting & exhibit in Arizona, USA.


Educational Background

2021 - 2023, Post doctoral fellow, Yuan Ze University, Taiwan.

2015 - 2020, PhD candidate, Anna University, India.

2013 - 2015, Masters in Technology, SASTRA University, India.

 


Job Description

Candidates with experimental backgrounds should have prior exposure to thin-film physics, vacuum-based deposition methods, and basic characterization techniques relevant to device fabrication. Candidates from computer science or AI backgrounds must demonstrate strong Python programming skills and an interest in device modelling and simulation using tools such as SCAPS-1D, COMSOL Multiphysics, ANSYS, or related software.

Applicants from USA, EU, Canada, Australia, and Japan will be given preference. Interested candidates must email a cover letter, CV, academic transcripts, and a one-page write-up explaining their suitability for the internship. Due to the high volume of applications, only shortlisted candidates will be contacted. If no response is received, applicants are requested to refrain from sending repeated follow-up emails.

Preferred Intern Educational Level

Applicants must hold a Master’s degree (in final stage) in Physics, Electronics, Nanotechnology, Materials Science, or Computer Science with AI/data science background, or related fields, with a minimum academic score of 75% or equivalent.

Skill sets or Qualities

Strong foundational knowledge in semiconductor physics, solid-state devices, thin-film materials, and energy conversion principles.

Hands-on experience or prior training in thin-film deposition techniques, particularly vacuum-based methods such as sputtering, thermal/e-beam evaporation, or related processes.

Familiarity with basic material and device characterization techniques, including structural, optical, and electrical measurements (e.g., XRD, Raman, UV–Vis, Hall, I–V, C–V, or equivalent).

Ability to understand and follow cleanroom or laboratory safety protocols and work independently in a research laboratory environment.

For candidates from computational / modelling backgrounds:

Strong programming skills in Python for data analysis, modelling, and automation.

Experience or working knowledge of device modelling and simulation tools such as SCAPS-1D, COMSOL Multiphysics, ANSYS, or similar platforms.

Ability to correlate simulation results with experimental data and interpret physical mechanisms governing device performance.

Demonstrated analytical thinking and problem-solving ability, with attention to experimental detail and data integrity.

Good scientific writing and documentation skills, including preparation of reports, presentations, and research summaries.

Ability to work effectively both independently and as part of a multidisciplinary research team.

Strong motivation, curiosity, and willingness to learn, with the discipline to meet research milestones within a fixed internship duration.

Professional communication skills and respect for academic research ethics and timelines.