PhD Applied Research Intern

Job not on LinkedIn

🕒 June 12

🇺🇸 United States – Remote

💵 $50 / hour

👨‍🎓 Internship

⚪️ Entry-level

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Thermo Fisher Scientific

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

Healthcare Insurance • Biotechnology • Pharmaceuticals

Thermo Fisher Scientific is a leading global supplier of scientific instrumentation, reagents and consumables, and software services. They support the life sciences, healthcare, and analytical chemistry sectors by providing robust solutions for laboratory research and production processes. Their innovative products and services encompass a range of applications, including diagnostics, lab workflow automation, and drug discovery.

📋 Description

• We are seeking a highly motivated PhD intern to join Centific’s Vision AI team for a 3–6 month engagement. • This is an applied research role for doctoral candidates who want to move beyond the lab and deploy their expertise directly into a live AI operations program. • You will be embedded in a production computer vision system processing real-time video feeds across multiple active detection workflows. • You will work alongside senior engineers and ML leads to implement, optimize, and measure AI improvement strategies that ship to production on a daily pipeline cadence. • The emphasis is on building and shipping: translating model research into working, measurable systems that improve real-world detection performance. • Across all focus areas, the intern will monitor daily pipeline KPIs, contribute to post-run analysis, and document implementation decisions in the team ops ledger.

🎯 Requirements

• Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field, with a strong orientation toward applied systems and implementation. • Deep expertise in computer vision fundamentals: convolutional neural networks, transformers (ViT, DETR), and generative models. • Strong proficiency in Python and deep learning frameworks including PyTorch and/or TensorFlow. • Hands-on experience with large-scale dataset processing, annotation workflows, or benchmark construction. • Solid understanding of model training techniques: transfer learning, self-supervised learning, and fine-tuning strategies. • Strong implementation skills: ability to take a model research concept and produce a working, measurable system quickly; comfort operating in a daily-cadence production pipeline environment. • Clear written and verbal communication skills; ability to document implementation decisions, pipeline changes, and performance results for both technical and operational audiences.

🏖️ Benefits

• Hands-on ownership of a live, production AI system processing real-world surveillance data daily — with measurable KPI targets, real drift events, and deployment decisions that matter. • Mentorship from senior ML engineers and AI leads with deep expertise in deployed Vision AI systems, model distillation, drift correction, and edge inference optimization. • Direct contribution to measurable performance improvements — reductions in hallucination rate, narrowing of confidence intervals, and F1 score gains — on a live public safety AI program. • Access to proprietary datasets, annotation infrastructure, and compute resources for research experiments. • Attribution and credit in Centific’s IP Vault for implemented strategies and methodology contributions, with potential for technical blog posts, internal white papers, or co-authorship on applied research artifacts arising from the program. • Consideration for full-time opportunities upon PhD completion based on performance.