
Co-Op, Characterization Electrodeposited Material
Cambridge, MACo-opPosted 3 days agoStill listed 2 days ago
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Job overview
Lila Sciences is hiring a co-op on its Materials Science team to characterize electrodeposited metal films and develop repeatable measurement methods. The work focuses on measurement, method development, and data quality across electrical, surface, structural, and mechanical techniques. The co-op will work with scientists and engineers in a high-throughput automated experimentation lab, with protocols informing how measurements are scaled.
Skills & qualifications
Skills
Qualifications
Full job description
Your Impact at LILA
Lila Sciences is hiring a co-op to join the Materials Science team within the Autonomous Science Platform. You will characterize electrodeposited metal films and develop the measurement methods that make those results repeatable. Deposition is handled by other scientists on the team; your focus is measurement, method development, and data quality.
The role spans electrical, surface, structural, and mechanical techniques: four-point probe for sheet resistance and resistivity, laser confocal metrology for thickness, step height, and roughness, XRD and EBSD for phase, texture, and grain structure, and hardness testing for mechanical properties. Much of the work is standing these methods up: defining sample prep, acquisition settings, and acceptance criteria so results hold across operators and sample batches.
You will work alongside scientists and engineers in a lab built for high-throughput, automated experimentation, and your protocols will feed directly into how these measurements get scaled.
What You'll Be Building
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Develop sample prep and measurement protocols for general characterization tools on electrodeposited films: four-point probe, hardness testing, and SEM/EBSD.
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Prepare samples for SEM and EBSD (mounting, polishing, surface cleanup)
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Run four-point probe, laser confocal metrology, and hardness measurements
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Analyze XRD data (phase ID, texture, peak shift, crystallite size) and EBSD data (grain size, orientation, texture)
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Validate measurement repeatability and establish data quality criteria
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Analyze and visualize characterization data, then document methods and failure modes
What You'll Need to Succeed
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Pursuing a bachelor's, master's, or PhD in Materials Science, Physics, Chemistry, Mechanical/Chemical Engineering, or a related field
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Hands-on experience operating materials characterization instruments in a lab
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Hands-on experience with hardness testing (micro- or nano-indentation, or others)
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Hands-on experience with metallographic or SEM sample prep
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Experience analyzing XRD data
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Working knowledge of thin films, metal microstructure, or surface metrology
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Careful experimental technique and detailed record keeping
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Available for the full Spring co-op term, January through May
Bonus Points For
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Master's or PhD candidates preferred
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Python for data analysis and visualization
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Experience analyzing EBSD data (e.g., MTEX, OIM, AZtec Crystal)
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Hands-on SEM and/or FIB experience
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Direct experience with four-point probe, optical profilometry, or laser confocal systems
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Familiarity with electrodeposited metals or electrochemical materials processing
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Experience developing or qualifying a new measurement method (e.g., gauge R&R)
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Exposure to automated or high-throughput laboratory workflows
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
How this job compares
Set against the 4,929 open Researcher jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This postingNot listed
- Massachusetts median$85–120K/yr216 salary ranges
- Massachusetts median$24–36/hr30 hourly ranges
- Openings
- Olive Jobs lists 294 open Researcher jobs in Massachusetts and 4,929 across the US. 2% of them nationwide are listed as remote or flexible.
- Hiring the most in Massachusetts
- Harvard University66 open
- Boston University30 open
- Massachusetts Institute of Technology19 open
- Experience
- Researcher postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 2 to 5 years (1,649 postings).
- Education
- 3,337 of the 4,929 open Researcher jobs (68%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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