Post Doctoral Research Associate

The University of Texas at Arlington; Arlington (TX); On-site; USD 50,000 - 70,000; Full time

Job summary

The University of Texas at Arlington is seeking a Post Doctoral Research Associate in the Department of Bioengineering. The role focuses on analyzing imaging data, developing novel methods for multimodal neuroimaging, and building large-scale deep learning models. Ideal candidates will have a PhD in biomedical engineering or a related field, with preferred experience in MRI scanners and machine learning algorithms. Strong communication skills and an interest in neuroscience are also essential for this role.

Qualifications

• PhD degree is required in a related field.
• Experience working with MRI scanners preferred.
• Experience in developing state-of-the-art Machine Learning algorithms.

Responsibilities

• Manage neuroimaging data collection.
• Analyze data and build predictive models.
• Assist with organizing multimodal neuroimaging datasets.

Skills

Experience with neuroimaging processing pipelines

Development of Machine Learning algorithms

Excellent writing and communication skills

Strong interest in neuroscience and psychiatric research

Education

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

Tools

PyTorch

TensorFlow

Keras

Job description

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