Post Doctoral Research Associate

Job Summary

The Department of Bioengineering in the College of Engineering at the University of Texas at Arlington invites applications for a rank Post Doctoral Research Associate. This position will focus on analyzing imaging data, developing novel methods for analysis and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in psychiatric disorders.

Required Qualifications

PhD degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field

Preferred Qualifications

Doctor degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field

Experience in working with an MRI scanner

Experience in developing state-of-the-art Machine Learning algorithms

Experience with one or more deep learning libraries such as PyTorch, TensorFlow, or Keras

Hands-on experience with neuroimaging processing pipelines

Excellent writing and communication skills

Strong interest in neuroscience and psychiatric research

Essential Duties And Responsibilities

Neuroimaging data collection and management

Data analysis and model building

Develop advanced deep learning and machine learning algorithms

Assist with organizing large-scale multimodal neuroimaging datasets, brain imaging quality control, and processing

Assist with grant applications, manuscript preparation, and supervision of RAs and volunteers

Performs other duties as needed