Podcast Episode 4 – Global Funded PhD/Postdoc Openings & Top Internships from Google to Netflix

Podcast Snippets (Issue #4):

• Opening & Quote
  Hosts kick off with Tolkien’s “Not all those who wander are lost,” setting the tone for navigating a vast landscape of international opportunities.

• Section 1: Funded PhDs & Postdocs

  • George Mason University (Transportation & Urban Planning RA)

  • University of Arkansas (Crop Entomology PhD + Insect-Plant Interactions Postdoc)

  • University of Florida (Health Education & Behavior PhD – inquire for funding)

  • University of Trento, Italy (AI & Computer Vision PhD + Postdoc in Vision, Language & Ethics)

  • NJIT, Newark (Civil Engineering PhD in Robotics, XR & Digital Twins)

  • Texas A&M Kingsville (AI/ML/LLM PhD for Autonomous Systems)

• Key Takeaways from Funded Roles
  “Contact early” for rolling or unspecified deadlines, match your skillset to niche fields, and double-check test requirements (TOEFL/IELTS, GRE).

• Section 2: Internship & Job Opportunities

  • Google Student Researcher (US/Canada/Australia, PhD/BS/MS levels across ML, CV, NLU, HCI, quantum)

  • Data Engineering Intern @ Transcarent (Seattle; SQL, Python, AWS/GCP/Azure)

  • Data Scientist, Robotics Ops @ Amazon (Seattle/Boston; Python/R/SQL + ML/EDA)

  • Analyst, Talent Ops @ Netflix (Remote US; HRMS/ATS & HR-tech systems)

  • Analytics Engineer (L4) @ Netflix (Los Gatos; SQL, Spark/Trino, BI & A/B testing)

  • Data Scientist, IMDb @ Amazon (Santa Monica; ML/AI for ads & personalization)

  • Analyst II, Ancillary Revenue @ Frontier Airlines (Denver; Python, MS SQL, pricing analytics)

  • Assistant Professor, Computer Vision @ University of Trento (Faculty track in bias & compositionality)

  • Data Scientist @ The Home Depot (Hybrid Atlanta; Python, BigQuery, Tableau & prescriptive modeling)

• Common Threads Across Roles
  Core skills (SQL, Python, ML/AI), visa-friendly and location requirements, varied compensation structures (hourly, annualized rates, Netflix stock/salary mix).

• Closing Thoughts
  Use these listings not just to apply, but as a compass—identify repeating skill demands, explore companies that intrigue you, then dive back into the original links to launch your next steps.