TU Delft invites applications for a fully funded PhD position in Engineering Productivity Metrics at the Future of Software Engineering (FUSE) Lab, in collaboration with Meta Platforms. This role focuses on AI-driven software engineering productivity, experimentation frameworks, and next-generation engineering metrics.
Important Information
| Field | Details |
|---|---|
| Title | PhD Position in Engineering Productivity Metrics |
| Organization/Publisher | Delft University of Technology (TU Delft) |
| Work Location | Delft, Netherlands |
| Research Field | Software Engineering, AI Productivity, Engineering Metrics |
| Funding Info | Fully funded, 4-year contract |
| Application Deadline | January 4, 2026 |
| Country | Netherlands |
| Researcher Profile | PhD Candidate |
| Apply Button | Available on official TU Delft application portal |
| Required Qualification | Master’s in CS, Software Engineering, AI, or related fields |
| Required Experience | Research mindset, engineering skills, data fluency |
| Salary Details | €3059–€3881/month + 8% holiday allowance + 8.3% year-end bonus |
Overview
The Faculty of Electrical Engineering, Mathematics & Computer Science (EEMCS) at TU Delft is offering a fully funded PhD position within the newly established Future of Software Engineering (FUSE) Lab. This strategic collaboration between TU Delft and Meta Platforms aims to reshape how software engineering productivity is understood, measured, and enhanced—especially in the age of generative AI.
This position focuses on the development of AI-informed engineering productivity metrics and innovative experimentation tools that support thousands of developers at Meta and beyond.
About the Research Track: Engineering Productivity Metrics
As AI transforms the daily workflows of engineers, traditional software engineering metrics no longer capture the full picture—especially for machine learning engineers whose work may not result in direct deployments or may not immediately affect A/B test results.
This PhD project aims to solve this by:
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Developing new productivity metrics tailored for machine learning engineers
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Improving experimentation frameworks with early, AI-driven feedback
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Creating tools for shift-left experimentation, enabling better configuration of A/B tests
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Enhancing developer experience at massive scale
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Contributing to open science, sharing results with the global engineering community
You will work closely with researchers from TU Delft and Meta’s Dev Infra team, combining academic rigor with industry-scale research opportunities.
Who is Eligible?
Required:
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Master’s degree in Computer Science, Software Engineering, AI, or related areas
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Strong English proficiency (per TU Delft Graduate School requirements)
Additional Preferred Requirements:
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Research-oriented mindset (curiosity, critical reasoning, data fluency)
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Engineering skills (ability to build tools, prototypes, experimental systems)
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Collaborative and communicative personality
Applicants who do not meet every optional requirement are still encouraged to apply.
About TU Delft
TU Delft is a global leader in engineering research and innovation, with top-tier labs, an international community, and world-class facilities. Diversity, inclusion, and global impact are core to its mission.
The EEMCS faculty brings together three powerhouse disciplines—Electrical Engineering, Mathematics, and Computer Science—to solve advanced technological challenges, from AI to sustainable grids.
Funding, Contract & Benefits
PhD candidates receive:
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4-year fully funded contract, split into:
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1.5-year initial contract + go/no-go assessment
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2.5-year continuation upon satisfactory progress
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Salary:
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€3059 (year 1) to €3881 (year 4)
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Extras:
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8% holiday allowance
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8.3% year-end bonus
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Health insurance discounts
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Work cost contribution
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Flexible work arrangements
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You will also be enrolled in the TU Delft Graduate School, which provides a structured doctoral education program and mentoring.
Relocation Support
For international applicants relocating to the Netherlands, TU Delft provides extensive support including:
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Coming-to-Delft Service
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Networking events
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Dual Career Programme for partners
How to Apply
Apply online only through the official TU Delft application portal by January 4, 2026.
Required Documents:
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CV
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Motivation letter
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Ranking of interest (if applying to multiple FUSE lab positions)
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Statement on AI usage in application documents
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Academic work samples (thesis, research papers, etc.)
More information about the FUSE Lab can be found on the official website.
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