Experiences

University of California Merced
Merced, California, United States
Educator
(2)
3
Experience
6 projects wanted
Dates set by experience
Agreements required
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Software development Electrical engineering Hardware product design Education Scientific research
Skills
developing training materials quantum computing nanofabrication nanomaterials brand communication media pitch analytics market analysis technical report innovation
Learner goals and capabilities

This experience invites professionals to collaborate with learners who are exploring cutting-edge nanostructure and quantum technologies. Learners are equipped with foundational knowledge in physics, chemistry and engineering, especially with respect to nanostructures, quantum materials, and composite optoelectronic structures. They are capable of applying theoretical concepts to practical projects, offering fresh perspectives and innovative solutions. The objective is to bridge academic insights with real-world applications, enabling learners to contribute to the development of advanced materials, devices, and related processes.

Learners

Learners
Undergraduate
Beginner, Intermediate levels
15 learners
Project
60-100 hours per learner
Educators assign learners to projects
Teams of 3
Expected outcomes and deliverables

Depending on the details of each project, students will be asked to prepare and submit deliverables such as:

  • Technical report on the feasibility of integrating nano and/or quantum materials into existing products
  • Process description for the fabrication, characterization or operation of nano- and/or quantum structures or devices.
  • Concept paper describing the use nano- and/or quantum structures for enhanced device performance
  • Prototype design of nano- and/or quantum-enhanced device
  • Simulation results demonstrating the efficiency of composite optoelectronic structures
  • Presentation on potential applications of nano- and/or quantum structures in consumer electronics
  • Market analysis report on emerging trends in nano- and/or quantum technologies
  • Portfolio describing educational materials or approaches for training in nano- and/or quantum technology-related fields
Project timeline
  • September 18, 2025
    Experience start
  • September 26, 2025
    Introductions & Kick-off Report
  • October 3, 2025
    Project Scope & Goals Outline
  • October 17, 2025
    Midterm Project Status
  • November 14, 2025
    T-4 Weeks Status
  • December 12, 2025
    Experience end

Project Examples

Requirements

Data Analysis and Computational Projects:

  1. Quantum Materials Data Analysis: Analyze spectroscopic or imaging data from quantum materials experiments.
  2. Machine Learning for Materials Design: Apply machine learning techniques to predict properties of quantum or nanostructured materials and their potential use in applications like solar cells or sensors.
  3. Simulation of Quantum Systems: Perform first-principles simulations (e.g., density-functional theory) to model the electronic or optical properties of novel materials and material structures.
  4. Big Data in Nanotechnology: Develop pipelines to process and evaluate large datasets on the properties and performance of fabricated materials, nanostructures, or devices.
  5. Algorithm Development for Quantum Devices: Develop computational algorithms for controlling quantum devices or optimizing quantum structure-based systems.

Software and Programming Projects:

  1. Instrument Automation and Control: Write or update software for automating experimental setups (e.g., Python, LabVIEW).
  2. Web-Based Educational Tools: Create interactive educational content or simulations explaining quantum and nano-material concepts.
  3. Mask Design for Nanostructure Fabrication: Use CAD software to design lithographic masks for nanoscale device fabrication, including for optoelectronic or sensor applications.
  4. Algorithm Development for Photon Analysis: Develop algorithms to analyze single-photon emission or photonic coupling in quantum materials.
  5. Quantum Coding Challenges: Solve specific quantum computing problems, such as simulating nanostructures for energy-efficient technologies.


Design and Engineering Projects:

  1. Prototype Quantum Devices: Assist in designing proof-of-concept devices like single-photon emitters, or quantum sensors.
  2. Mechanical Design for Nanostructures: Create 3D models of structures integrating quantum dots or 2D materials for specific applications.
  3. Nanophotonic Simulation: Model light-matter interactions in photonic crystals, waveguides, or quantum dot assemblies for applications like enhanced solar cells or optical sensors.
  4. Quantum Device Component Integration and Packaging: Assist in the conceptualization of modular quantum device building blocks under consideration of cooling requirements.  

Workforce Upskilling Projects:

  1. Workforce Training Materials: Develop user-friendly materials that explain quantum and nanomaterial concepts, such as the role of quantum dots in energy-efficient devices or medical diagnostics, tailored for professionals in emerging technologies or those transitioning into STEM fields.
  2. Upskilling Program Design: Create a training plan to engage individuals from non-STEM fields, equipping them with hands-on quantum science skills and knowledge applicable to careers in advanced materials, semiconductors, or related industries.
  3. Professional Development Curriculum: Collaborate on modular educational programs for workforce development, integrating quantum concepts into technical training for community college students, early-career professionals, or industry employees seeking advanced skills.

R&D Considerations:

  1. Material Property Benchmarking: Compare experimental results with industry standards for semiconductor or photonic materials.
  2. Exploring Novel Materials: Investigate new materials and composite structures using computational methods to assess their viability for cutting-edge applications, for example, their biocompatibility for applications in the medical field.
  3. Sustainability Analysis: Explore the environmental impact of nano- or quantum material fabrication methods, suggesting more sustainable alternatives.

General R&D Support:

  1. Experimental Support: Process and organize experimental data for ongoing research.
  2. Technical Report Writing: Summarize findings from experiments, simulations, device tests into reports for publication or as product application notes.
  3. Database Development: Create or improve databases for tracking experimental results, sample properties, or material synthesis recipes.
  4. Investment Pitch Development: Create a comprehensive investment pitch for a quantum or nanotechnology-related innovation, highlighting its potential market impact, scalability, and alignment with current industry trends.
  5. Impact Report and Outreach Strategy: Develop an impact report showcasing the societal and technological benefits of a quantum or nanotechnology initiative.

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Text short
    What are the primary research challenges or knowledge gaps you're hoping to address through this project?  *
  • Q2 - Text short
    Will students have access to one-on-one mentorship, or will they be working more independently as part of a team?  *
  • Q3 - Text short
    Would you like the students to use any specific tools or software during the project, such as Python, MATLAB, Origin LAB, or simulation tools like COMSOL?  *
  • Q4 - Text short
    Would your organization be willing to cover any associated costs for the software required for the project?  *
  • Q5 - Text short
    To ensure a smooth and effective collaboration, we ask that employers are available for weekly or biweekly Zoom check-ins with students. Will this be possible for you?  *