Postdoctoral Researcher - Explainable AI for 3D Data

ExxonMobil; Texas; On-site; USD 75,000 - 110,000; Full time

Job summary

ExxonMobil is seeking a highly motivated Postdoctoral Researcher specializing in Explainable Artificial Intelligence for large-scale 3D data analysis. The role focuses on developing interpretable machine learning methods to support segmentation, classification, and anomaly detection in complex spatial data.

You will work with domain experts to create transparent AI systems that provide actionable insights for high-stakes engineering and business decisions, with emphasis on reproducibility and

Qualifications

• Ph.D. in Computer Science, AI, ML, Computational Science or closely related field with a focus on explainable AI or interpretable ML.
• Demonstrated research experience in explainable AI and deep learning, including interpretability methods and explainability techniques.
• Experience with 3D data (volumetric imaging, point clouds, or spatiotemporal data) and DL methods such as CNNs, transformers, or graph neural networks.

Responsibilities

• Develop explainable AI methods for deep learning models applied to 3D volumetric data.
• Design and implement models for segmentation, classification, and anomaly detection in large-scale datasets.
• Create techniques to improve model interpretability, transparency, and trustworthiness, including post hoc explanations and inherently interpretable approaches.
• Develop uncertainty-aware predictions to support decision-making in critical applications.
• Collaborate with domain experts to translate model outputs into decision-support tools.
• Implement workflows using modern ML frameworks and reproducible software practices.
• Communicate findings through technical reports, journal publications, and conference presentations.

Skills

Python

PyTorch

TensorFlow

3D data

Deep learning

Explainable AI

Segmentation

Classification

Anomaly detection

Communication

Education

Ph.D. in Computer Science / AI / ML / Computational Science

Tools

PyTorch

TensorFlow

Job description

ExxonMobil is seeking a highly motivated Postdoctoral Researcher specializing in Explainable Artificial Intelligence for large-scale 3D data analysis. The role focuses on developing interpretable machine learning methods to support segmentation, classification, and anomaly detection in complex spatial data.

You will work with domain experts to create transparent AI systems that provide actionable insights for high-stakes engineering and business decisions, with emphasis on reproducibility and