🛠 Tech Stack

💼 About This Role

You'll work with Professor Oeindrila Dube on applying NLP and machine learning to body-worn camera footage to build tools that improve policing outcomes. This hands-on role at the frontier of computer science and economics aims to change how police interact with the public using causal evidence.

🎯 What You'll Do

• Collect and process tabular and spatial data
• Develop algorithms to clean and organize data
• Conduct statistical analyses and run simulations
• Prepare manuscripts and presentations

📋 Requirements

• Bachelor's degree in CS, economics, statistics, math or related field
• At least one year of relevant research experience
• Strong programming skills in Python or R
• Experience with machine learning libraries (e.g., scikit-learn, PyTorch)

✨ Nice to Have

• Experience with NLP, speech/ASR, or computer vision
• Familiarity with Stata
• Exposure to causal inference or program evaluation

🎁 Benefits & Perks

• 💰 Competitive salary $55,000–$62,000
• 📚 $2,000 professional development fund
• 🏥 Health, retirement, and paid time off
• 🎓 Bridge to graduate school with mentorship

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Submit application (resume, cover letter, writing sample, transcripts, references)· 30 min
2. 2Phone screen with program staff· 30 min
3. 3Interview with Professor Dube· 30 min
4. 4Offer· 1 week