Postdoctoral Researcher: Explainable AI for 3D Data

ExxonMobil; Spring (TX); On-site; USD 70,000 - 95,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

ExxonMobil is seeking a highly motivated Postdoctoral Researcher specializing in Explainable AI for large‑scale 3D data analysis. You will develop interpretable ML methods for segmentation, classification, and anomaly detection to support critical engineering decisions.

A PhD is required, with expertise in XAI and DL for spatial data. You will work with domain experts to create transparent AI systems and contribute to publications and technical reports.

Qualifications

• PhD in CS/AI/ML with a focus on explainable AI or interpretable ML.
• Evidence of explainable AI and deep learning research.
• Experience with 3D data and relevant DL methods.
• Strong Python programming and ML framework skills.

Responsibilities

• Develop explainable AI methods for 3D data and DL models.
• Build segmentation, classification, and anomaly detection for large datasets.
• Improve model interpretability and trustworthiness, including post hoc explanations.
• Develop uncertainty-aware predictions to aid decision making.
• Optimize scalability and performance on large 3D volumes.
• Evaluate models using accuracy and explainability metrics.
• Collaborate with domain experts to translate outputs into decision tools.
• Implement workflows with modern ML frameworks and reproducible practices.
• Communicate findings via reports, publications, and presentations.

Skills

Explainable AI

3D data

Python

Deep learning

Team collaboration

Education

PhD in CS/AI/ML

Tools

PyTorch

TensorFlow

Job description

ExxonMobil is seeking a highly motivated Postdoctoral Researcher specializing in Explainable AI for large‑scale 3D data analysis. You will develop interpretable ML methods for segmentation, classification, and anomaly detection to support critical engineering decisions.

A PhD is required, with expertise in XAI and DL for spatial data. You will work with domain experts to create transparent AI systems and contribute to publications and technical reports.