Physics Researcher: Data-Driven & Educational Content

Crossing Hurdles; United Kingdom; On-site; GBP 45,000 - 75,000; Full time

Job summary

Crossing Hurdles in the United Kingdom seeks a PhD-level physicist to conduct advanced research across fundamental and applied physics, analyzing data and interpreting findings to support physical theories.

You will develop clear explanations of complex concepts for AI evaluation, curate physics content for AI training, and critically review AI outputs for accuracy, while collaborating with stakeholders to ensure project alignment.

Qualifications

• Doctorate (PhD) in Physics or a closely related scientific discipline.
• Experience in conducting rigorous scientific research and publishing in peer-reviewed journals.
• Strong foundation in theoretical and experimental physics with the ability to communicate complex ideas.
• Exceptional critical thinking and problem-solving skills with attention to detail.
• Proficiency in written and verbal communication with a passion for science education.

Responsibilities

• Conduct deep-dive research on fundamental and applied physics topics.
• Analyze experimental data and interpret findings to support physical theories.
• Develop detailed explanations of complex scientific concepts for AI evaluation.
• Assist in creating and curating physics-related educational content for AI training.
• Critically review AI-generated content for accuracy and scientific rigor.
• Collaborate with stakeholders to refine deliverables and ensure project alignment.
• Provide feedback on research outcomes and physics-related queries.

Skills

Deep-dive research

Data analysis

Physics theory & experiments

Science communication

AI content review

Collaboration

Education

PhD in Physics

Job description

Crossing Hurdles in the United Kingdom seeks a PhD-level physicist to conduct advanced research across fundamental and applied physics, analyzing data and interpreting findings to support physical theories.

You will develop clear explanations of complex concepts for AI evaluation, curate physics content for AI training, and critically review AI outputs for accuracy, while collaborating with stakeholders to ensure project alignment.