Marc Roy Jutras
******.****@*****.*** • 650-***-****
Relocating to Seattle in June
Chapel Hill, NC 27514
Objective
I am looking to obtain a full time position in the Seattle area to apply my broad mechanical and materials science expertise to the solar industry.
Education
Stanford University, M.S. in Materials Science and Engineering, GPA 3.71 June 2015
Fast learner Completed a two year Master's degree in one year
University of Toronto, B.A.Sc. in Materials Science and Engineering (Honors) June 2014
Work Experience
Drivetrain Design Lead, AeroVelo Inc., Eta Speed Bike Project May 2014 Sept. 2014
Designed the drivetrain of a world record vehicle within a fast-paced multidisciplinary team
Used SolidWorks CAD and SurfCAM for 3D modeling, finite element analysis, and CNC programming
Constructed wheel hubs, sprockets, etc. using manual machining, CNC milling and composite layups
Processed climate and elevation data sets in MATLAB to clarify ambiguous parameters for RAAM bike
Process Researcher, University of Toronto, Cellular Materials Group May 2013 Sept. 2013
Researched formation and processing of stochastic core structures made of thermoset resins
Made process and material decisions using assessments based on imaging and mechanical test data
Developed an analytical model of the formation process using COMSOL and Surface Evolver
Composites Engineer, AeroVelo Inc., Atlas Human Powered Helicopter May 2012 June 2013
Fabricated vehicle spars and rotor spools using carbon fiber composite manufacturing techniques
Designed and executed testing of drive line properties and revealed a supplier quality issue
Won an aviation prize which had been standing for 30 years and was declared impossible
Projects and Courses
Hyperloop Pod Design Contest 2016
Created a multidisciplinary design optimizer using the openMDAO framework in Python
Optimized eddy current braking and maglev systems using 3D electromagnetic finite element analysis
Presented to the selection committee, securing sponsorship and access to the Hyperloop test track
Solar Energy Conversion, Stanford University 2015
Learned cell compositions (mono-Si, a-Si, CdTe, CIGS) and architectures (PERC, PERL, IBC, thin film)
Wrote an optimizer in Python to choose number of cells in series or parallel within a solar module
Constructed a solar module: soldered solar cells, measured I V response, optimized output
Performed shading analyses and predicted solar installation output using PVSyst
Electronic and Photonic Materials and Devices Lab, Stanford University 2015
Spin-coated organic semiconductor solutions on ITO glass to make a transistor, an LED and a solar cell
Measured current-voltage curves using a multimeter and absorption spectrum using a spectrometer
Skills
Programming: C, Java, Python, LabVIEW, MATLAB
CAD & Simulation: SolidWorks, COMSOL, PVSyst
Web Design: Ruby on Rails, HTML, CSS, JS, SQL
Electronics: Raspberry Pi, Arduino
Operating Systems: Linux, Windows
Languages: English, French (Intermediate)