Their first classes and undergraduate research experiences have barely begun, but at more than 1,480 strong, Michigan Tech’s Class of 2025 is one for the record books.
Michigan Technological University’s newest Huskies arrived on campus last week, and they are the largest incoming class the University has seen since 1982, accounting for a 23% increase in first-year student enrollment from fall 2020. Incoming academic credentials remain the highest in University history.
“We couldn’t be more excited to welcome such an incredible class of talented students to the Michigan Tech family,” said Michigan Tech President Rick Koubek. “We are a distinct research institution, offering opportunities and experiences unique to Michigan Tech. Students recognize that. That’s why they want to be here.”
MTU’s incoming class also has the highest number of first-year students from ethnically diverse communities, with 162 identifying as members of underrepresented racial and ethnic groups. And, the University has 2,054 students who identify as women enrolled — its highest number ever, accounting for 29% of the total student population.
“Tech’s record-breaking enrollment this year is proof positive that Michigan Tech is one of the top universities in the world, and we are indeed a destination institution for talented women, minority, international and other students,” said Vice President for Student Affairs and Dean of Students Wallace Southerland III.
Tech’s total enrollment currently stands at 6,977, an increase from 6,875 in 2020-21, a year in which the global pandemic overshadowed the myriad of factors that consistently affect college choice. Full-time student enrollment has increased 3%.
“Students are choosing Michigan Tech not only for academics and the famed Husky experience, but also because the University proved time and again throughout the previous academic year that we’re committed to providing in-person learning while keeping the health and safety of our community paramount,” said Assistant Vice President for Enrollment Management Kyle Rubin.
MTU Flex, Tech’s comprehensive plan to ensure continuity of learning, teaching, research and workflows while prioritizing the health and safety of the campus community, includes proactive measures unique to the University’s deep research resources and exceptional faculty, such as wastewater monitoring to detect possible outbreaks in residence halls and the state’s only COVID-19 testing lab situated at a university without a medical school.
College of Computing Social Media Assistant
This work-study student position will help the communications director increase social media engagement on College of Computing social media channels. Contact Karen Johnson with questions. Apply on Handshake.
Hourly Paid Research Assistants
The Security and Privacy Lab has openings for hourly-paid research assistants. The student will eork on working on IoT security, mobile security, or cloud computing security. The student is expected to be eager to solve problems, and familiar with programming (C is preferred). Interested, please send resume to Dr. Bo Chen.
Undergraduate Paid Research Positions
Dr. Junqiao Qiu is seeking undergraduate research assistants who are 1) enrolled in CS or a closely related discipline at Michigan Tech, and 2) U.S. citizens, U.S. nationals, or permanent residents of the United States. RAs will work on a research project about GPU-accelerated FSM/graph computations with advanced speculation. For details and to apply, email your resume to Dr. Qiu (email@example.com). The positions run from September 2021 through mid-April 2022.
Graduate Research Position
Dr. Sidike Paheding, Applied Computing, is seeking a fall 2021 graduate student to assist with a research project. Pay rate: $15/hour, 10 hours/week, September 2021 through December 2021, with an extension possible. The research assistant will have experience in the Unity development platform and Virtual/Augmented Reality; knowledge in machine learning/AI is a plus. To apply, email Dr. Paheding.
The Aerosol-Biosphere-Climate Interaction (GMES) is looking for a student with Python programming background to work on a newly-funded NASA project. The student will lead the development of a scalable Python script to create a structured dataset by merging ground-based and satellite observations of air pollutants. The following libraries are expected to be used: numpy, pandas and others for reading/writing Hierarchical Data Format. The student will gain experience in applying NASA’s space and ground observation assets to address changes in the atmospheric composition and associated impacts on air quality and climate. Contact Dr. Xin Xi if you are interested.
Staff Writer, Computer Science (Quanta), Simons Foundation, full-time. Reporter to identify and cover newsworthy developments in machine learning, quantum computing, computational complexity, algorithms, cryptography and other areas of theoretical computer science. View the positio