Position Description

Associate in Research - Neuroimaging & Speech Analysis

Our dynamic research lab is seeking a highly motivated and skilled Associate in Research to join our team. This position offers a unique opportunity to contribute to cutting-edge research at the intersection of neuroimaging and speech science.

Responsibilities

The successful candidate will play a pivotal role in two key areas:

1. Neuroimaging Analysis for Volume of Tissue Activated (VTA) Calculation

• Process and analyze MRI and CT scans to precisely segment anatomical structures and regions of interest.
• Develop and apply computational methods for accurate calculation of Volume of Tissue Activated (VTA).
• Ensure the accuracy and reproducibility of all VTA calculations and optimize analysis pipelines.

2. Speech Analysis for Dysarthria & Other Metrics

• Manage and analyze audio recordings of speech from research participants.
• Perform detailed acoustic and perceptual analysis of speech samples.
• Quantify the level of dysarthria using established and potentially novel metrics.
• Analyze other relevant speech metrics (e.g., speech rate, intelligibility, shimmer) to assess therapeutic efficacy.

General Expectations

• Maintain a comprehensive, clear, and detailed laboratory notebook for all experimental procedures, data acquisition, and analysis methodologies.
• Establish and maintain separate, up-to-date Git repositories for each project, ensuring robust version control and collaborative accessibility.
• Adhere to established data management protocols, including secure storage and backup.
• Actively participate in team meetings and contribute to scientific discussions.
• Prepare regular progress reports and present findings to the research team.
• Stay current with relevant scientific literature and advancements in neuroimaging and speech analysis.
• Adhere to all institutional safety guidelines and ethical regulations.

Required Qualifications at this Level

• BS in BME, CS, or related field.
• Experience with neurophysiology, ML methods and deep brain stimulation
• Experience with Matlab and Python
• Experience with Git for version control.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.