Materials Characterisation Scientist

What You'll Do6

• Write research-level problems that reflect genuine characterisation work in your specialty
• Ground each problem in the instrument data you handle, from diffraction patterns to impedance spectra
• Document your reasoning and the measurements behind each answer so reviewers can follow it
• Check submissions for accuracy and clarity before handing them in
• Set your own hours and keep pace with the task volume you commit to
• Pick up further tasks when your schedule allows, since the queue has no cap

Requirements5

• Hands-on experience analyzing your own characterisation data with Python or a comparable language
• Clear technical writing that explains methods and results to a reader outside your lab
• Self-directed work habits, because the role has no fixed weekly schedule
• Direct lab work with measured data rather than pure simulation such as DFT or molecular dynamics
• Background in lab characterisation rather than sales or applications work

Preferred Qualifications6

• Master's or PhD in materials science, metallurgy or a related field with lab characterisation work
• Rietveld refinement, Oliver-Pharr or EIS fitting on data you collected
• Working knowledge of ASTM test standards
• Analysis scripts you wrote yourself
• Public code, a thesis or published papers that show your technical work
• Prior data annotation, data labeling or AI/ML evaluation experience

Who Should Apply

The role suits a materials scientist or metallurgist who spends time at the instrument and in Python, not just in simulation software. You have your own XRD, indentation, impedance or battery cycling data and can explain what it shows.

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