Why This Resume Works
CPU-hours, simulation counts, and data volumes demonstrate the scale of research undertaken.
Citation counts, h-index, and author position show impact and contribution level clearly.
C++, MPI, CUDA, and cluster computing are valuable beyond astrophysics and attract industry recruiters.
Section-by-Section Breakdown
Summary
Emphasize your theoretical specialty and computational capabilities. Citation count and publication volume belong here.
Skills
Highlight HPC languages and frameworks. Separate research domains from computing tools and analysis methods.
Experience
CPU-hours, simulation scale, data volumes, and funding secured are the strongest astrophysics metrics.
Education
Keep to one line. Your Ph.D. institution and year are sufficient at this career stage.
Key Skills for Astrophysicist Resumes
Based on analysis of thousands of job postings, these are the most frequently required skills:
Common Mistakes on Astrophysicist Resumes
- ⚠No computational metrics - Astrophysics is computation-heavy. Quantify CPU-hours, data processed, and simulation scale.
- ⚠Hiding programming skills - C++, Python, and Fortran are critical keywords. List them prominently in skills and demonstrate in bullets.
- ⚠Only listing publications - A resume is not a publication list. Show impact through citations, funding, and collaboration scope.
- ⚠Ignoring mentorship experience - Supervising students shows leadership. Include student outcomes like publications or degree completion.
- ⚠No funding track record - PI-level roles require proven grant-writing ability. List agencies, amounts, and success rates.