Skip to content

Open nowPosted 20 hours ago

Co-Op, Characterization Electrodeposited Material

Lila Sciences119 open roles

Where
Cambridge, MA USA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowCo-Op, Characterization Electrodeposited MaterialLila Sciences · Cambridge, MA USA
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Lila Sciences's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Lila Sciences postings stay open a median of 55 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 20 hours ago

Lila Sciences median: 55 days open

The posting

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

  • Develop sample prep and measurement protocols for general characterization tools on electrodeposited films: four-point probe, hardness testing, and SEM/EBSD.
  • Prepare samples for SEM and EBSD (mounting, polishing, surface cleanup)
  • Run four-point probe, laser confocal metrology, and hardness measurements
  • Analyze XRD data (phase ID, texture, peak shift, crystallite size) and EBSD data (grain size, orientation, texture)
  • Validate measurement repeatability and establish data quality criteria
  • Analyze and visualize characterization data, then document methods and failure modes

What You'll Need to Succeed

  • Pursuing a bachelor's, master's, or PhD in Materials Science, Physics, Chemistry, Mechanical/Chemical Engineering, or a related field
  • Hands-on experience operating materials characterization instruments in a lab
  • Hands-on experience with hardness testing (micro- or nano-indentation, or others)
  • Hands-on experience with metallographic or SEM sample prep
  • Experience analyzing XRD data
  • Working knowledge of thin films, metal microstructure, or surface metrology
  • Careful experimental technique and detailed record keeping
  • Available for the full Spring co-op term, January through May

Bonus Points For

  • Master's or PhD candidates preferred
  • Python for data analysis and visualization
  • Experience analyzing EBSD data (e.g., MTEX, OIM, AZtec Crystal)
  • Hands-on SEM and/or FIB experience
  • Direct experience with four-point probe, optical profilometry, or laser confocal systems
  • Familiarity with electrodeposited metals or electrochemical materials processing
  • Experience developing or qualifying a new measurement method (e.g., gauge R&R)
  • 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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Lila Sciences's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Lila Sciences's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Lila Sciences's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.