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Calphad Jobs in Park Ridge, NJ (NOW HIRING)

Calphad information

What are the typical daily responsibilities of a CALPHAD scientist in an industrial setting?

As a CALPHAD scientist in an industrial environment, your daily tasks often include developing and optimizing thermodynamic and kinetic databases, performing phase diagram calculations, and collaborating closely with materials engineers and process designers to support alloy development. You may also be responsible for validating computational predictions with experimental data, documenting your methodologies, and presenting findings to cross-functional teams. This role frequently involves both independent computational work and collaborative problem-solving to address real-world materials challenges.

What is a Calphad engineer or specialist?

A Calphad engineer or specialist is a professional who uses CALPHAD (CALculation of PHAse Diagrams) methods and software to model, predict, and optimize phase diagrams and thermodynamic properties of materials. They work with computational thermodynamics to support materials design, alloy development, and process optimization in industries like metallurgy, aerospace, and energy. Their expertise helps in understanding how materials behave under different conditions, which is crucial for developing new materials and improving existing ones.

What is the difference between Calphad vs Materials Scientist?

AspectCalphadMaterials Scientist
Required credentialsTypically requires a PhD in materials science, chemistry, or related fields; expertise in thermodynamics and computational modelingUsually requires a bachelor's or master's in materials science, chemistry, physics, or engineering; may have additional certifications
Work environmentResearch labs, computational modeling, simulation environmentsLaboratories, research and development departments, industry settings
Industry usagePrimarily in materials design, alloy development, and thermodynamic analysisInvolved in developing new materials, testing, and application in various industries

Calphad specialists focus on thermodynamic modeling and computational simulations to predict material behaviors, while Materials Scientists work broadly on developing, testing, and applying new materials. Both roles often collaborate but differ in their core focus and skill sets.

What are the key skills and qualifications needed to thrive as a CALPHAD (CALculation of PHAse Diagrams) materials scientist, and why are they important?

To thrive as a CALPHAD materials scientist, you need a strong background in materials science, thermodynamics, and computational modeling, usually supported by an advanced degree in materials science or a related field. Proficiency with CALPHAD software tools (such as Thermo-Calc, Pandat, or FactSage) and experience with databases and programming are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting complex data and collaborating across multidisciplinary teams. These competencies enable accurate phase diagram predictions and materials design, which are crucial for research and industrial innovation.
What cities near Park Ridge, NJ are hiring for Calphad jobs? Cities near Park Ridge, NJ with the most Calphad job openings:

Computational Chemist/Material Scientist - Metal Alloys

Radical AI

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Radical AI is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to run experiments, analyze results, and iterate-continuously, without human bottlenecks. For industries like aerospace, automotive, defense, energy, manufacturing, semiconductors, and space, that means breakthroughs in weeks instead of years.

The Opportunity
As a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.
About you
  • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject.
  • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems.
  • Understanding of the fundamental mechanics of metals and how to model them computationally.
  • Experience running high-throughput DFT.
  • Experience with interatomic potentials.
  • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request).
  • Experience coding in Python or other similar languages.
Pluses
  • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs.
  • Prior experience in transitioning AI + computational research into production environments.
  • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.).
  • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS).
  • Experience with metal additive manufacturing techniques.
 
What We Offer
A competitive compensation package also includes the best in benefits:
  • Medical, dental, and vision insurance for you and your family, covered at 100%
  • Mental health and wellness support
  • Unlimited PTO and 14+ company holidays per year
  • Company-wide end-of-year shutdown, including two weeks of paid time off
  • 401K 
  • Equity
 
Disclosure
 
Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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