Summer Hourly Position, Graduate or Undergraduate, Great Lakes Research Center
Seeking a currently enrolled Michigan Tech graduate or upper-level undergraduate student
help to compile Great Lakes datasets on water use and energy (i.e., solar, wind, heating
/ cooling, and wave energy).
You’ll work with Dr. John Lenter and an interdisciplinary team of faculty, staff,
and students that is collecting energy, water, and climate change related datasets
during the summer of 2021.
The project team collaborates with numerous other groups on campus, including the
Keweenaw Energy Transitions Laboratory, Advanced Power Systems Laboratory, and departments
such as Mechanical Engineering, Electrical Engineering, and Social Sciences.
Graduate and upper-level undergraduate students will have primary responsibility for
identifying, documenting, and compiling relevant datasets which will be used in future
research. The team will also discuss and prioritize future research directions in
energy-water-climate nexus issues.
Applicants should bring a strong technical background, an interest in energy systems
and/or interdisciplinary work in environmental science, good attention to detail,
some experience in coding, and willingness to learn good data management practices.
To apply, submit a resume or CV to Dr. Lenters (jdlenter@mtu.edu). The email should discuss the student’s interest and relevant experience for this
position. Hourly salary is negotiable and typically varies from $10-16/hour, depending
on the student’s level of education and experience.
The anticipated summer work period is May 3-August 20, with up to 25 hours of work
available per week, on average.
Dr. Lenters is an associate research scientist with the Great Lakes Research Center
(GLRC), with affiliated positions in the Department of Civil, Environmental, and Geospatial
Engineering and the Atmospheric Sciences Program.
Desired background:
At least two years of undergraduate education or (preferably) already holding a B.S.
in mathematics, physics, engineering, or related field in environmental or data science
Good programming and analytical skills (e.g., Matlab, R)
Experience with data management and quality control
Experience with accessing and using atmospheric and hydrologic datasets, including
climate data and model output (e.g., general circulation models).
Research or educational experience in climate science, hydrology, and/or energy systems
(power plants, commercial buildings, residential buildings, or renewable energy)
We seek students that want to join, support, and promote an inclusive workplace. For
more information on related research activities in Dr. Lenters’ lab, please see the
MTU faculty/staff directory at the GLRC.
To apply, submit a resume or CV to Dr. Lenters (jdlenter @mtu.edu. The email should
discuss the student’s interest and relevant experience for this position. Hourly salary
is negotiable and typically varies from $10-16/hour, depending on the student’s level
of education and experience. (4/5/21)
You'll work on IoT security, mobile security, or cloud computing security.
The student is expected to be: 1) Eager to solve problems; 2) Familiar with operating
systems; 3) Familiar with system programming (C is preferred); and 4) Familiar with
embedded systems (optional).
I am looking for qualified and motivated PhD students, to work on compact and geometric
data structures in the Department of Computer Science. My current research focuses
on range reporting and compressed data structures; you can find more information on
my home page.
Applicants should have keen interest in designing algorithms and data structures.
Previous research experience and implementation skills are also desirable.
The preferred starting date is in Fall 2021 or earlier. Applications will be accepted
until the position is filled.
Please send your CV and cover letter to me at <yakov@mtu.edu> with the same subject line as this email. (1/5/21)
