Astronomy & Astrophysics - Research Consultants

Astronomy & Astrophysics - Research Consultants

An enterprise client is seeking experienced researchers, academics, and technical professionals to support advanced research and evaluation projects in Astronomy & Astrophysics. Selected candidates will apply specialized domain expertise to complex scientific problems, evaluate AI-generated technical content, and provide expert-level reasoning and feedback.

• Work through and evaluate complex Astronomy & Astrophysics problems requiring advanced domain expertise
• Develop domain-specific research, reasoning, and evaluation tasks
• Evaluate AI-generated scientific and technical content for accuracy, quality, and scientific rigor
• Review technical or academic responses and identify factual, mathematical, methodological, or conceptual inaccuracies
• Provide clear, well-supported specialist-level reasoning and feedback
• Apply advanced knowledge to assigned research and evaluation projects
• Assess research outputs, models, computational work, datasets, or other technical materials where relevant

Qualifications

• Deep specialization in a defined Astronomy & Astrophysics subfield, rather than broad general knowledge
• Verifiable record of substantive research, technical, computational, observational, or professional work directly related to the specialization
• Ability to independently work through or evaluate complex scientific problems at an advanced level
• Strong written reasoning skills and ability to clearly explain technical judgments
• Current or recent experience in academic research, technical practice, or specialized professional work
• Verifiable academic affiliation, research appointment, or relevant academic background with a university ranked within the QS World University Rankings Top 100

Highly prefer candidates to have:

• Expertise in areas such as Astronomy, Astrophysics, Cosmology, Theoretical or Observational Astrophysics, Stellar or Galactic Astrophysics, Computational Astrophysics, or Astrophysical Data Analysis
• Peer-reviewed or first-author research demonstrating subject-matter expertise
• Experience with astronomical observations, mathematical modelling, numerical simulations, computational methods, or astrophysical data analysis
• Technical work products such as datasets, computational implementations, models, test reports, patents, or other substantive research outputs
• Ability to demonstrate expertise in a clearly defined astrophysical problem area