Postdoc: Explainable AI for 3D Data

Exxon Mobil Corporation; Spring (TX); On-site; USD 70,000 - 100,000; Full time

Job summary

ExxonMobil invites applications for a Postdoctoral Researcher position focused on Explainable AI for large-scale 3D data analysis. The role requires developing interpretable models for segmentation, classification, and anomaly detection in high-dimensional datasets to support engineering decisions.

The successful candidate should have a PhD in a relevant field, strong Python and deep learning skills, and experience with PyTorch or TensorFlow. This on-site role is based in Spring, Texas.

Qualifications

• PhD in CS/AI/ML with focus on explainable AI or interpretable ML.

Responsibilities

• Develop explainable AI methods for 3D volumetric data.

Skills

Explainable AI

3D data processing

Python programming

Communication skills

Education

PhD in Computer Science / AI / ML / Computational Science

Tools

PyTorch

TensorFlow

3D data tooling

Job description

ExxonMobil invites applications for a Postdoctoral Researcher position focused on Explainable AI for large-scale 3D data analysis. The role requires developing interpretable models for segmentation, classification, and anomaly detection in high-dimensional datasets to support engineering decisions.

The successful candidate should have a PhD in a relevant field, strong Python and deep learning skills, and experience with PyTorch or TensorFlow. This on-site role is based in Spring, Texas.