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Experimental Condensed Matter Physics Postdoc Jobs

Indiana University

Postdoctoral Fellow

Bloomington, IN · On-site

$45K - $61K/yr

Posting Details Position Details Title Postdoctoral Fellow Appointment Status Non-Tenure Track ... and experimental research in condensed matter and AMO physics, as well as correlated condensed ...

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All JobsExperimental Condensed Matter Physics Postdoc Jobs

Experimental Condensed Matter Physics Postdoc information

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$33K

$107.6K

$149.5K

How much do experimental condensed matter physics postdoc jobs pay per year?

As of Aug 6, 2026, the average yearly pay for experimental condensed matter physics postdoc in the United States is $107,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Experimental Condensed Matter Physics Postdoc vs Experimental Materials Scientist?

AspectExperimental Condensed Matter Physics PostdocExperimental Materials Scientist
Required CredentialsPhD in Physics or related fieldPhD in Materials Science, Chemistry, or Physics
Work EnvironmentAcademic research labs, universitiesIndustry R&D labs, manufacturing companies
Employer & Industry UsagePrimarily academia, research institutionsPrivate sector, materials development
Research FocusFundamental properties of condensed matter systemsDevelopment and testing of new materials

While both roles involve experimental research in physical sciences, the Experimental Condensed Matter Physics Postdoc focuses on fundamental physics in academic settings, whereas the Experimental Materials Scientist applies similar experimental skills to develop practical materials in industry.

What are the key skills and qualifications needed to thrive as an experimental condensed matter physics postdoc?

To thrive as an Experimental Condensed Matter Physics Postdoc, you need a PhD in physics or a related field, a deep understanding of condensed matter theory, and hands-on experience with experimental techniques. Familiarity with laboratory instrumentation, data analysis software (such as Python or MATLAB), and sometimes advanced microscopy or spectroscopy systems is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for designing experiments and collaborating within research teams. These competencies are vital for producing high-quality research results, advancing scientific knowledge, and contributing effectively to multidisciplinary projects.

What does an experimental condensed matter physics postdoc do?

An Experimental Condensed Matter Physics Postdoc conducts research on the physical properties of matter in its solid and liquid states, often focusing on understanding phenomena like superconductivity, magnetism, and quantum effects. They design and perform experiments, analyze data, and develop new materials or devices. Postdocs in this field typically work in academic or government research labs, collaborating with interdisciplinary teams and publishing their findings in scientific journals.

What are some common challenges faced by an experimental condensed matter physics postdoc, and how can they be addressed?

Experimental Condensed Matter Physics Postdocs often encounter challenges such as troubleshooting complex experimental setups, managing time between hands-on research and data analysis, and adapting to rapidly advancing technologies. Collaborating closely with team members, including faculty, graduate students, and technical staff, is crucial for problem-solving and knowledge sharing. Staying organized, seeking mentorship, and actively participating in lab meetings can help address these challenges and contribute to successful research outcomes.
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What cities are hiring for Experimental Condensed Matter Physics Postdoc jobs? Cities with the most Experimental Condensed Matter Physics Postdoc job openings:
What states have the most Experimental Condensed Matter Physics Postdoc jobs? States with the most job openings for Experimental Condensed Matter Physics Postdoc jobs include:
What job categories do people searching Experimental Condensed Matter Physics Postdoc jobs look for? The top searched job categories for Experimental Condensed Matter Physics Postdoc jobs are:
Experimental Condensed Matter Physics Postdoc jobs near you
Infographic showing various Experimental Condensed Matter Physics Postdoc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $107,594 per year, or $51.7 per hour.

Research Scientist, Computational Condensed Matter Physics

Lila Sciences

Cambridge, MA • On-site

$176K - $304K/yr

Full-time

Medical, Dental, Vision, Life

Posted 9 days ago

Job description

Your Impact at LILA
Your role will involve applying computational condensed matter physics and electronic structure expertise to accelerate materials discovery, optimization, and understanding. You will use first-principles modeling, atomistic simulations, scientific machine learning, and agentic AI systems to investigate complex materials with direct relevance to superconductors, quantum materials, or electronic devices.
You will work at the intersection of physics-based simulation, AI/ML, and autonomous scientific workflows. The focus is on using computational insight to identify promising materials, explain structure-property relationships, guide optimization, and help agents reason over simulation and experimental data in scientifically grounded ways.
This is a hands-on research role for someone who can connect deep condensed matter and electronic structure expertise with practical materials discovery impact. You will collaborate with computational scientists, AI researchers, software engineers, and experimental teams to turn simulations, models, and scientific reasoning into actionable hypotheses and discovery workflows.
What You'll Be Building
  • Apply computational condensed matter physics to materials discovery and optimization.
  • Use computational physics methods (such as electronic structure and phonon calculations) to study quantum materials, superconductors and electronic devices.
  • Connect simulation outputs to experimental observations and develop workflows that close the loop between computation and experiment.
  • Build predictive models from computational and experimental data to guide materials selection and optimization.
  • Analyze simulation and experimental data to generate actionable materials hypotheses.
  • Partner with ML, software, and experimental teams on discovery workflows.
  • Communicate physical insights, model limitations, and recommendations to collaborators.

What You'll Need to Succeed
  • PhD or equivalent experience in Physics, Materials Science, Chemistry, Applied Mathematics, or a related field.
  • Strong foundation in computational condensed matter physics, electronic structure, or atomistic simulation.
  • Deep understanding of electronic-structure theory (quantum chemistry, DFT, beyond-DFT methods, etc.) and their application to electronic, magnetic, or quantum materials.
  • Experience applying first-principles or atomistic methods to materials discovery, optimization, or understanding.
  • Familiarity with superconductors, quantum materials, electronic materials, semiconductors, or device-relevant materials systems.
  • Strong programming skills in Python and scientific computing workflows.

Bonus Points For
  • Experience working with amorphous materials, vibrational properties calculations and advanced electronic structure methods.
  • Experience applying AI/ML to computational materials science or physics-based simulation data.
  • Familiarity with agentic AI systems, autonomous scientific workflows, or simulation-aware agents.
  • Background working with quantum materials, superconductors, semiconductors, or electronic device materials.
  • Experience integrating computational predictions with experimental characterization, device measurements, or closed-loop optimization workflows.
  • Ability to communicate physical insight, uncertainty, and model limitations to cross-functional collaborators.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$176,000-$304,000 USD
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.

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