Empowering next generation of leading scholars
Internship Program
Internship Opportunities in IT and Computational Science
MTI offers a comprehensive internship program with multiple distinct tracks designed to support students with diverse backgrounds, interests, and goals, and applicants are encouraged to apply to one or more tracks to increase their chances of acceptance.
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IT projects include AI focused projects and hands-on applications of Python, Java, and C++ in areas such as cryptography, cybersecurity, and global disease data trend analysis. Computational science projects focus on molecular modeling, bioinformatics, and other in silico medicinal chemistry methods for biochemical and medical research. MTI provides students in qualifying projects with access to supercomputing resources through the NSF ACCESS program.
We also offer an asynchronous computational certificate program. Students who successfully complete this program may receive priority consideration for select internship projects. Visit our STEM Ed page for more information.
Past participants who completed the program and pursued additional follow-up work have secured over $130,000 in college scholarships. Visit our Success Stories page to see more.
Summer 2026 Projects include but not limited to Mobile Tracker App Development in ReactNative, Personalized AI Chatbot Development for Diabetes Management, Molecular Dynamics Simulations of PAH Protein and PKU-Causing Mutants, ADME/T Exploration of Candidate Drug Molecules, Quantum Mechanical Simulations of Candidate Drugs, AI Chatbot Development for PKU Disease Management, Analysis of COVID19 Data Utilizing C++, and more.
How does it Work?
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General Information
Selected students join university research groups lead by professors or industry professionals to conduct authentic research or IT projects. When applicable, results are published with students listed as co-authors. All projects are conducted virtually in a collaborative environment, with live group meetings held 2–3 times per week and daily data uploads. At the end, students present their work in our annual student research symposium, and receive program completion and presenter certificates.
Questions? Contact: info@metrotechinstitute.org
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Eligibility, Dates and Tuition
Summer 2026 Internship Program is open to all high school and undergraduate students.
Deadline: March 10 (for full consideration), April 7 (late applications)
Internship Dates: June 18 - July 30 (Monday-Thursday)
Annual Student Research Symposium: August 3, 2026
Tuition: $750 (MTI Research Scholars)
Scholarship: $500 (MTI Distinguished Scholars or MTI Teaching Fellows)
Scholarship: $4,000 (MTI Project Seed Scholars)
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MTI Project Seed Scholars
$4,000 stipend opportunity for high school students, who are 10th grade and up with a family income of 200th percentile or below. Additionally, students must have completed the chemistry course (in some cases biology may be sufficient). Directly apply at the ACS Project Seed site during February-March 2026 application period and select MetroTech Institute. Students also should complete the MTI application form (see below). Project Seed students start two weeks earlier than the other students in our program. Students who successfully complete this program are given an opportunity to present their work at an ACS conference with all or partial expenses paid in addition to other presentation opportunities.
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MTI Research Scholars
MTI Research Scholars (Research Track) or MTI Research Scholars (IT Track) is a selective internship opportunity, where students engage in authentic research or applied IT projects. Students who demonstrate exceptional performance will be recognized on their certificates with distinction. Students will also be supported to present at the MTI Annual Student Research Symposium and other national conferences. This is a merit based opportunity and students from minority or minoritized communities are encouraged to apply. Economically disadvantaged students are encouraged to apply to our ACS Project Seed Program.
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MTI Distinguished Scholars
This is a highly selective opportunity for students with outstanding background. Students must successfully complete the 6-8 week long research assigned by their research professors will receive $500 scholarship. This is a merit based opportunity and students from minority or minoritized communities are encouraged to apply. Economically disadvantaged students are encouraged to apply to our ACS Project Seed Program.
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MTI Teaching Fellows
$500 scholarship opportunity is available for selected undergraduate students (~1% acceptance rate). This is a part time position, where undergraduate students gain mentorship and leadership experience while also contributing the research or the IT project whenever applicable. Students must successfully complete the 6-8 week long work to receive the funds. This is a merit based opportunity and students from minority or minoritized communities are encouraged to apply.
Sample Projects
Development of a Python-Based Encryption for Cancer Clinical Trial Data
Under the guidance of a college professor, students will develop a Python-based encryption tool to secure sensitive cancer clinical trial data. Leveraging encryption algorithms, this project ensures confidentiality and integrity, safeguarding valuable medical information. With user-friendly features, it empowers researchers to protect data integrity while facilitating secure collaboration and analysis within the scientific community.
A Data Driven Exploration of COVID-19: Understanding the Pandemic
Students will work in a collaborative environment to analyze COVID-19 data to gain insights into the spread of the virus, its impact on different regions, and trends over time. They will be challenged by data inconsistencies, big data, and interpreting statistical results accurately.
Deciphering Effects of Rett Syndrome Causing Single Point Mutations on MeCP2 Protein
Students will work under the guidance of a college professor to perform MD simulations of MeCP2 protein (mutant and natural) in supercomputers. The goal of the project is to understand the impact of mutations on protein properties at the molecular level.
Investigation of Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) Properties of Inhibitors in Type 2 Diabetes
Students will join a research group of a professor to decipher physical, ADMET and other medicinal chemistry properties of type 2 diabetes drug molecules. This is part of a larger project which aims to develop an accurate and efficient computational protocol for small molecule evaluation.
Identification and Evaluation of PLK1 Inhibitors to Prevent Cancer Proliferation
Students will employ virtual docking and other simulation techniques under the guidance of a college professor to identify top hit molecules with a potential to bind to PLK1 selectively.
Molecular Dynamics Simulations of Mutant and Wild-Type Phenylalanine Hydroxylase to Decipher PKU Disease Mechanisms
Students will work collaboratively to investigate a series of mutations associated with PKU disease through molecular dynamics simulations. Supercomputers will be utilized for this work. The resulting trajectories will be extensively analyzed to understand the effects of mutations on the PAH protein.
