Materials Scientist - Fully Remote

Mercor; Berlin; Remote; EUR 83.000 - 165.000; Teilzeit

Zusammenfassung

Mercor is seeking experienced Inorganic Chemistry and Materials Synthesis Experts to contribute to advanced AI research initiatives. You will leverage your expertise to evaluate complex scientific problems, validate AI-generated explanations, and support the development of robust reasoning for inorganic materials.

Ideal candidates hold a PhD and have hands-on synthesis and characterization experience. This engagement requires a minimum of 10 hours per week, with potential up to 40 hours, based

Qualifikationen

• PhD-level researchers preferred; MSc considered with extensive experience.
• Hands-on synthesis and characterization of inorganic materials.
• Strong foundations in crystallography, phase diagrams, thermodynamics and kinetics.
• Experience interpreting experimental data and literature.

Aufgaben

• Evaluate complex inorganic chemistry problems and materials synthesis.
• Review and validate AI-generated explanations, synthesis routes, and methodologies.
• Assess reaction mechanisms, precursors, conditions, phase formation and stability.
• Develop rigorous reference answers and reasoning frameworks.
• Identify inaccuracies in chemical reasoning and proposed syntheses.
• Apply techniques such as XRD, XPS, SEM, TEM, FTIR, Raman and thermal analysis.
• Collaborate with teams to improve AI model scientific accuracy.

Kenntnisse

Scientific writing

Analytical reasoning

Communication

Independent problem solving

Ausbildung

PhD in Inorganic Chemistry

MSc with extensive research experience

Tools

XRD

XPS

SEM

TEM

FTIR

Raman spectroscopy

Thermal analysis

Jobbeschreibung

Mercor is seeking experienced Inorganic Chemistry and Materials Synthesis Experts to contribute to advanced AI research initiatives. In this role, you will leverage your expertise in inorganic chemistry, synthetic methodologies, and materials characterisation to evaluate complex scientific problems, assess technical accuracy, and support the development of AI systems capable of advanced scientific reasoning. This opportunity is ideal for PhD-level researchers, materials scientists, and industry professionals with hands-on experience designing, synthesising, and characterising inorganic materials.

Key Responsibilities

• Evaluate technically complex problems involving inorganic chemistry, solid-state chemistry, and materials synthesis.

• Review and validate AI-generated scientific explanations, synthesis pathways, and experimental methodologies.

• Assess reaction mechanisms, precursor selection, reaction conditions, phase formation, and materials stability.

• Develop scientifically rigorous reference answers, technical evaluations, and reasoning frameworks.

• Identify inaccuracies in chemical reasoning, proposed synthetic routes, and interpretations of experimental results.

• Apply knowledge of analytical and characterisation techniques such as XRD, XPS, SEM, TEM, FTIR, Raman spectroscopy, and thermal analysis.

• Collaborate with research teams to improve the scientific accuracy and reliability of advanced AI models.

Required Qualifications

• PhD in Inorganic Chemistry, Materials Chemistry, Solid-State Chemistry, Materials Science, or a closely related discipline. Exceptional MSc candidates with extensive research experience may be considered.

• Demonstrated experience in inorganic synthesis, solid-state reactions, solution-phase synthesis, hydrothermal/solvothermal methods, or related techniques.

• Strong understanding of crystallography, phase diagrams, chemical bonding, thermodynamics, and reaction kinetics.

• Experience interpreting experimental characterisation data and assessing scientific literature.

• Strong scientific writing, analytical reasoning, and communication skills.

• Ability to independently evaluate complex scientific problems.

Preferred Qualifications

• Research experience involving catalysts, metal oxides, ceramics, semiconductors, coordination compounds, or functional inorganic materials.

• Peer-reviewed publications or patents in inorganic chemistry or materials synthesis.

• Experience bridging experimental chemistry with computational materials science.

• Prior experience evaluating scientific datasets, technical benchmarks, or AI-generated research outputs.

Engagement Details

• Commitment: Minimum 10 hours per week, with potential for up to 40 hours per week.

Why Join Mercor?

• Apply specialised scientific expertise to cutting-edge AI research.

• Contribute to improving how advanced AI systems understand chemistry and materials science.

• Collaborate on intellectually challenging scientific problems.