Your Impact at Lila

As a PhD Co-op in Catalysis and Porous Materials, you’ll join Lila’s Physical Sciences team to explore next-generation materials for catalytic and sorption applications. You will work closely with a cross-functional team to synthesize and characterize heterogeneous catalysts, metal-organic frameworks (MOFs), and other porous materials. You will also contribute to designing automated workflows that couple material discovery with machine learning to accelerate performance optimization. This is an opportunity to work at the frontier of materials science, automation, and AI-driven discovery.

What You'll Be Building

• Design and execute experiments to investigate heterogeneous catalytic and sorption processes


• Synthesize and characterize MOFs, zeolites, and other porous materials using techniques such as PXRD, BET, TGA, and SEM


• Analyze experimental data and contribute to hypotheses and structure-property relationship models


• Collaborate with automation and ML teams to integrate high-throughput screening workflows


• Operate or support high-throughput platforms such as Chemspeed, Opentrons, or Unchained Labs systems for automated synthesis


• Document protocols, maintain accurate lab records, and present findings to technical stakeholders

What You’ll Need to Succeed

• Current PhD student in Chemistry, Chemical Engineering, Materials Science, or related field


• Experience with heterogeneous catalysts, MOFs, or porous materials synthesis


• Proficiency with materials synthesis and characterization (e.g., PXRD, BET, SEM, TGA, FTIR)


• Strong analytical skills and attention to detail in experimental design and data interpretation


• Excellent communication and teamwork skills

Bonus Points For

• Experience with gas sorption, breakthrough experiments, or dynamic adsorption studies


• Familiarity with flow reactors or automated material testing setups


• Exposure to high-throughput experimentation and lab automation platforms


• Programming or data analysis skills (e.g., Python, MATLAB, JMP)


• Interest in machine learning approaches to materials optimization

About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, 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.

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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.