PhD Position Causal Inference & Machine Learning (AI)
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Описание вакансии
TL;DR
PhD Position Causal Inference & Machine Learning (AI/Statistics): Developing methods to detect and mitigate causal assumption violations to ensure trustworthy causal claims with an accent on positivity violations. Focus on building data-driven detection methods and designing procedures to account for uncertainty in high-dimensional and longitudinal settings.
Location: Primarily based in Delft, Netherlands. Relocation support is provided.
Salary: €3,059 – €3,881 gross per month
Company
is a top international university combining science, engineering, and design to address global challenges in energy, climate, mobility, health, and digital society.
What you will do
- Research the limits of detection for causal assumption violations.
- Develop new data-driven detection methods for assumption violations, focusing on positivity.
- Incorporate violations into causal models and design mitigation procedures.
- Investigate these methods in simple, high-dimensional, and longitudinal settings.
- Collaborate with experts in computer science, mathematics, biostatistics, and epidemiology within the Safe Causal Inference consortium.
Requirements
- Master’s degree in a relevant quantitative field (statistics, computer science, mathematics, econometrics, physics, etc.).
- Proficiency in spoken and written English.
- Ability to program in Python, R, Julia, or similar scientific programming languages.
- Strong interest in understanding and developing statistical and machine learning methods.
- Critical thinking and an open mind.
Culture & Benefits
- 4-year employment period provided as two consecutive contracts.
- 8% holiday allowance and an 8.3% end-of-year bonus.
- Customisable compensation package and discounts on health insurance.
- Flexible work schedules.
- Enrollment in the Graduate School with a structured Doctoral Education Programme.
- Relocation support through Coming to Delft Service, including a Dual Career Programme for partners.
Hiring process
- Online application submission of CV, cover letter (max 2 pages), and transcripts.
- Knowledge security risk assessment during the final stages of the recruitment process.
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