Current Projects

We are looking for highly motivated researchers with collaborative spirit to join our adventures! Our research crosscuts multiple disciplines – molecular sciences, directed assembly, polymer processing, additive manufacturing and device engineering. We welcome candidates from any related disciplines to apply to our lab! Details regarding each positions might vary from time to time. If you are interested, please reach out to Dr. Diao for further information!

Undergraduate Students

Undergraduate students who are interested in joining our research team are encouraged to contact Dr. Diao directly via email with a resume including GPA, contact information, and a discription of relevant coursework/project work to inquire for available position/project openings.

Graduate Students

We are looking for 3 highly motivated graduate students for Fall 2022 semester to join the group. Each students will be working on (1) Understanding the assembly pathway of conjugated polymers,
(2) Autonomous 3D printing of structure color, and
(3) Autonomous discovery of functional molecules. Please refer to the research page for description on these research themes.

Postdoc Scholars

Postdoctoral candidates are encouraged to contact Dr. Diao directly via email with a CV, contact information, and a description of research interests to inquire for the available projects.

Open Positions


1. We are looking for talented postdoctoral scholars skilled at automation and development of self-driven labs for materials discovery. The postdoc will have the opportunity to work in a highly collaborative and stimulating environment under the Molecular Maker Lab Institute and the Beckman Institute.

Those interested please send a CV to Dr. Diao at yingdiao@illinois.edu

Full Stack Web Application Developer – CRUD Web Application

Job Type: Part-time

Job Description: The DIAO Group from UIUC is working on a joint collaboration project along with Grover Lab from The Georgia Institute of Technology. The project is to create a full stack web application for research experimentalists to interact with (add and view) experimental data in a database hosted on the cloud. The type of data being stored in the database is experimental data on polymer-based semiconducting devices, such as the processing information used to fabricate the device and the performance metrics.

Our vision for this web platform is the creation of a virtual hub for collaboration of researchers in the organic electronics community to view and mine existing experimental device data as well as contribute new data through a web form. The proposed web interface will also incorporate data visualization and analysis tools, allowing users to explore the data and derive insights, as well as to use the data with their own data mining and/or machine learning tools.

We are seeking a talented and experienced Full Stack Web Application Developer (minimum 1-year development expertise) to join our team and contribute to the development of this important CRUD Web Application. As a Full Stack Developer, you will be responsible for designing, implementing, and maintaining both the front-end and back-end components of the application using ReactJS and relational databases (PostgreSQL). You will work closely with a team of developers, designers, and project stakeholders to deliver a high-quality and user-friendly web application.


  • Understand project requirements and translate them into technical specifications.
  • Make enhancements to the current user interface to ensure a seamless design and clean user experience.
  • Develop robust back-end functionality using appropriate server-side technologies such as Node.js and other frameworks.
  • Optimize an image of a current relational database schema and know how to write efficient SQL queries.
  • Implement CRUD (Create, Read, Update, Delete) functionality and ensure data integrity.
  • Write clean, modular, and maintainable code following best practices, coding standards, and comments.
  • Be able to test and debug ReactJS applications.
  • Collaborate with cross-functional teams to integrate third-party APIs and services.
  • Stay updated with the latest web development trends and technologies, specifically related to ReactJS and relational databases.

Preferred Qualifications:

  • Proven experience as a Full Stack Web Developer, with a strong focus on web application development using ReactJS.
  • Proficiency in front-end technologies such as HTML, CSS, and JavaScript, along with experience using ReactJS and related libraries.
  • Strong knowledge of back-end technologies such as Node.js, Express.js, and relational databases.
  • Experience working with relational databases (e.g., MySQL, PostgreSQL) and writing optimized SQL queries.
  • Familiarity with version control systems (e.g., Git) and agile development methodologies.
  • Solid understanding of web security principles and best practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
  • Positive attitude and a proactive approach to problem-solving.
  • Strong analytical and critical thinking abilities.
  • Time management and ability to meet deadlines.
  • Excellent verbal and written communication skills.

Would also be nice to have

  • Portfolio or examples of previous web applications developed using ReactJS and relational databases would be a plus.
  • Experience with Python Development
  • Good sense of humor 🙂

If you are passionate about developing scalable and user-friendly web applications using ReactJS and have experience with relational databases, we would love to hear from you. Join our team and contribute to the success of our exciting CRUD Web Application project that will transform the research industry.

To apply, please submit your resume and any relevant work samples or portfolio links to : yingdiao@illinois.edu


1. We are recruiting several undergraduate students to be a part of an autonomous material discovery project. The students will mainly work on automating the mechanical process of organic solar cell fabrication/characterization to build an autonomous additive manufacturing platform. This effort will help us accelerate the material discovery for organic electronics assisted by AI/ML techniques such as bayesian optimization. We are interested in building the automation platform, scripting the user interface, building the material database, and incorporate the platform with AI/ML techniques. See related article: https://doi.org/10.1016/j.joule.2020.12.013
This project will run from Summer 2023 through Spring 2024 and we are also considering full-time summer job positions.


    • Students in Computer Science, Mechanical Engineering, Chemical Engineering, and Materials Science preferred but not required
    • Previous laboratory experience is not required
    • Basic knowledge on python/programming language is required – preferred if comfortable with any of the following : serial communication, threading, building database/user interface.
To apply, please email your resume to chwang12 [at] illinois.edu
Changhyun Hwang, Graduate Student
Department of Chemical and Biomolecular Engineering

2. We are recruiting several undergraduate students for a project of understanding structure-processing-property relationship of solution-processed organic electronic devices using data-science approaches. The students will be mainly responsible for mining existing data in our group to generate a database which will be used to establish the relationship between material structure, processing conditions, and device properties. Such data mining efforts have proven incredibly powerful to advancing chemical sciences by incorporating “dark data” in model predictions! See article below. In this project, we are particularly interested in applying the data science approach to organic electronic device research rather than chemical reactions. See related article: https://www.haverford.edu/college-communications/news/team-haverford-faculty-and-students-publish-nature
This project will run from Spring 2023 through Spring 2024.

    • Students in Chemical Engineering, Chemistry, and Materials Science preferred but not required
    • Minimum GPA of 3.5/4.0
    • Previous laboratory experience is not required
    • Students from communities underrepresented in science strongly encouraged to apply!
To apply, please email your resume toazzayak2 [at] illinois.edu
Azzaya Khasbaatar, Graduate Student
Department of Chemical and Biomolecular Engineering


Diao Research Group

3514 Beckman institute

405 N. Mathews Ave., 

Urbana, IL 61801

prof. Ying Diao

3265 Beckman institute


URBANA, IL 61801


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