Postdoctoral Fellow in Multimodal Prognostication: The Mass General Brigham NeuroAI Center is seeking a highly motivated Postdoctoral Research Fellow with expertise in machine learning (ML) and biomedical data analysis. This role will contribute to cutting-edge research at the intersection of neuroscience, critical care, and computational modeling, focusing on developing advanced AI/ML models for prediction and outcome assessment in acute neurological conditions.
Postdoctoral Research Fellow in AI/ML for Multimodal Prognostication
Designation:
Postdoctoral Research Fellow
Location:
Boston, MA (Onsite)
Research Area:
AI/ML in Neuroscience and Critical Care
Eligibility/Qualification:
- Ph.D. in computer science, biomedical engineering, computational neuroscience, applied mathematics, or a related field.
- Strong expertise in machine learning, deep learning, and statistical modeling with applications in biomedical data.
- Preferred Skills:
- Experience with time-series analysis, transformers, LSTMs, and other temporal modeling techniques.
- Familiarity with neurophysiological data (EEG, telemetry) and neuroimaging analysis.
Job Description:
| Key Responsibilities | Details |
|---|---|
| Develop and validate multimodal AI/ML models | Integrate diverse clinical and physiological data. |
| Design and implement time-series prediction frameworks | Utilizing transformer-based architectures, ensemble learning, and deep learning techniques. |
| Manage large-scale datasets | Ensure robust preprocessing, feature extraction, and handling of missing data. |
| Apply explainable AI (XAI) techniques | Enhance model interpretability using SHAP and attention mechanisms. |
| Implement validation strategies | Nested cross-validation, conformal prediction, and adversarial training for model robustness. |
| Collaborate with a multidisciplinary team | Refine models for real-world deployment. |
| Contribute to manuscript preparation and grant writing | Disseminate research findings at leading conferences and journals. |
How to Apply:
Interested candidates should submit a single PDF file including:
- Two-page CV detailing relevant experience and publications.
- One-page cover letter with exactly five bullet points, each no more than two lines, demonstrating fit for the position.
- Contact information for three references.
Please send your application to: Morteza Zabihi at Mzabihi@mgh.harvard.edu
Subject line format: ‘Postdoc Application – [Your Full Name]’
Last Date to Apply:
September 10, 2025
Join us in advancing AI-driven precision medicine and neurological prognostication!
Summary:
The Mass General Brigham NeuroAI Center is seeking a highly motivated Postdoctoral Research Fellow with expertise in machine learning (ML) and biomedical data analysis. This role will contribute to cutting-edge research at the intersection of neuroscience, critical care, and computational modeling, focusing on developing advanced AI/ML models for prediction and outcome assessment in acute neurological conditions.
Designation:
Postdoctoral Research Fellow
Location:
Boston, MA (Onsite)
Research Area:
AI/ML in Neuroscience and Critical Care
Eligibility/Qualification:
- Ph.D. in computer science, biomedical engineering, computational neuroscience, applied mathematics, or a related field.
- Strong expertise in machine learning, deep learning, and statistical modeling with applications in biomedical data.
- Preferred Skills:
- Experience with time-series analysis, transformers, LSTMs, and other temporal modeling techniques.
- Familiarity with neurophysiological data (EEG, telemetry) and neuroimaging analysis.
Job Description:
| Key Responsibilities | Details |
|---|---|
| Develop and validate multimodal AI/ML models | Integrate diverse clinical and physiological data. |
| Design and implement time-series prediction frameworks | Utilizing transformer-based architectures, ensemble learning, and deep learning techniques. |
| Manage large-scale datasets | Ensure robust preprocessing, feature extraction, and handling of missing data. |
| Apply explainable AI (XAI) techniques | Enhance model interpretability using SHAP and attention mechanisms. |
| Implement validation strategies | Nested cross-validation, conformal prediction, and adversarial training for model robustness. |
| Collaborate with a multidisciplinary team | Refine models for real-world deployment. |
| Contribute to manuscript preparation and grant writing | Disseminate research findings at leading conferences and journals. |
How to Apply:
Interested candidates should submit a single PDF file including:
- Two-page CV detailing relevant experience and publications.
- One-page cover letter with exactly five bullet points, each no more than two lines, demonstrating fit for the position.
- Contact information for three references.
Please send your application to: Morteza Zabihi at Mzabihi@mgh.harvard.edu
Subject line format: ‘Postdoc Application – [Your Full Name]’
Last Date to Apply:
September 10, 2025
Join us in advancing AI-driven precision medicine and neurological prognostication!
