by Office of the Vice President for Research
On behalf of the Associate Vice President for Research Development (AVPRD) Office, we invite scholars, creators and researchers to attend the upcoming Open House for Centers, Institutes and Shared Facilities on Sept. 10 from 1-5 p.m. in MUB Ballroom A.
The open house will immediately follow the President’s Welcome Back Picnic at the Rozsa Center. People are welcome to bring their lunches over from the picnic and finish them in the ballroom.
The event will feature two-minute “Tech Talks” from center, institute and shared facility directors, providing attendees with an opportunity to learn about the mission and research interests of Michigan Tech’s variety of research areas and facilities.
After the introductions, guests will have the opportunity to tour the centers, institutes or shared facilities that interest them; meet with other members and users; and learn more about how these organizations can support their work.
The afternoon will conclude with an informal reception at Rovano Plaza (the outdoor area next to the Library) from 4-5 p.m. where researchers and directors can continue conversations.
For more information or a calendar invitation, please contact Brent Burns at firstname.lastname@example.org.
Thank you for considering attending this important event, which is intended to help you network with others on campus and assist you with gaining access to the resources and assistance that Michigan Tech’s centers, institutes and shared facilities provide.
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
Starting Monday, August 30, 2021, and during the fall semester Michigan Tech will offer free, walk-in COVID-19 testing on campus for students and employees. Testing takes place from 9:00 a.m. to noon on Mondays, Wednesdays, and Thursdays in the Datolite Room at the MUB.
No appointments are needed for walk-in testing, and tests are available to any student or employee, whether they have COVID-19 symptoms or not.
If you would like to be tested, come to the Datolite Room during testing hours and ask for a test. Your results should be available in approximately 24 hours, and will be emailed to you.
If you have a question about COVID-19 testing at Michigan Tech, check the MTU Flex Testing web page for up-to-date information and answers to frequently asked questions, or email firstname.lastname@example.org.
by Office of Innovation and Commercialization
For several years, Michigan Tech has partnered with the State of Michigan and other stakeholders to create an entrepreneurial and innovation ecosystem. Members of the community at large can participate in this process at an event on the Michigan Tech campus.
Michigan Tech hosts one of five hubs that make up the Michigan Translational and Research Commercialization (MTRAC), funded by the state’s Michigan 21st Century Jobs fund through the Michigan Strategic Fund. MTRAC-supported projects have secured more than $315 million in follow-on funding.
Join us at noon on September 10, 2021 in GLRC 202 to hear directly from the program directors of each hub to learn about program requirements and what makes for a competitive proposal. Directors will have a few appointments on a first come, first serve availability following the seminar for one-on-one meetings with prospective principal investigators.
MTRAC provides matching funds for researchers to accelerate the transfer of new technologies from universities, hospital systems, and nonprofit research centers into the commercial market. Funding is available under any of the five statewide hub programs organized around the following technology areas:
- Ag Bio Innovation Hub (managed by Michigan State University)
- Life Sciences Innovation Hub (managed by the University of Michigan)
- Advanced Transportation Innovation Hub (managed by University of Michigan)
- Advanced Materials Innovation Hub (managed by Michigan Tech)
- Advanced Computing Innovation Hub (managed by Wayne State University)
Prospective entrepreneurs will learn about moving technology from lab to market. Program objectives, goals and scope will be discussed by representatives from the five MTRAC hubs and representatives from the Michigan Economic Development Corporation (MEDC).
August 2-6, 2021. PinT 2021 will be offered in a virtual-format.
Register online on the Registration Page.
Computer models and simulations play a central role in the study of complex systems in engineering, life sciences, medicine, chemistry, and physics. Utilizing modern supercomputers to run models and simulations allows for experimentation in virtual laboratories, thus saving both time and resources. Although the next generation of supercomputers will contain an unprecedented number of processors, this will not automatically increase the speed of running simulations. New mathematical algorithms are needed that can fully harness the processing potential of these new systems. Parallel-in-time methods, the subject of this workshop, are timely and necessary, as they extend existing computer models to these next generation machines by adding a new dimension of scalability. Thus, the use of parallel-in-time methods will provide dramatically faster simulations in many important areas, such as biomedical applications (e.g., heart modeling), computational fluid dynamics (e.g., aerodynamics and weather prediction), and machine learning. Computational and applied mathematics plays a foundational role in this projected advancement.
The primary focus of the proposed parallel-in-time workshop is to disseminate cutting-edge research and facilitate scientific discussions on the field of parallel time integration methods. This workshop aligns with the National Strategic Computing Initiative (NSCI) objective: “increase coherence between technology for modeling/simulation and data analytics”. The need for parallel time integration is being driven by microprocessor trends, where future speedups for computational simulations will come through using increasing numbers of cores and not through faster clock speeds. Thus as spatial parallelism techniques saturate, parallelization in the time direction offers the best avenue for leveraging next generation supercomputers with billions of processors. Regarding the mathematical treatment of parallel time integrators, one must use advanced methodologies from the theory of partial differential equations in a functional analytic setting, numerical discretization and integration, convergence analyses of iterative methods, and the development and implementation of new parallel algorithms. Thus, the workshop will bring together an interdisciplinary group of experts spanning these areas.