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 #J-18808-Ljbffr The University of Texas at Arlington