Overview
A postdoctoral position is currently open in the lab of Dr. Carlos Fernandez-Granda at New York University’s Courant Institute and Center for Data Science. This role emphasizes the development of deep learning methodologies tailored for medical applications, particularly in the context of enhancing rehabilitation for stroke patients.
Background & Relevance
The integration of machine learning in healthcare has become increasingly vital, especially in areas such as rehabilitation and recovery. The focus on deep learning techniques allows researchers to process complex medical data effectively, leading to improved patient outcomes. This position offers a unique opportunity to contribute to significant advancements in the field of healthcare technology.
Key Details
- Position: Postdoctoral Researcher
- Location: New York University, Courant Institute and Center for Data Science
- Focus Areas: Deep learning for medical applications, domain adaptation, high-dimensional signal processing, semi-supervised learning
- Collaboration: Mobilis Lab, Department of Neurology, NYU School of Medicine
- Application Link: Apply Here
- Availability: Immediate, renewable yearly for up to three years
Eligibility & Participation
Candidates should hold a Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related field. A solid foundation in machine learning, particularly deep learning, along with strong programming skills and a genuine interest in healthcare, is essential. The ability to work both independently and collaboratively within an interdisciplinary team is also required.
Submission or Application Guidelines
Interested applicants should submit the following materials:
1. A CV
2. A brief cover letter detailing their research experience, alignment with the project goals, career aspirations, and available start date
3. Contact information for three references familiar with the applicant’s academic and research background
Applications can be sent to cfgranda@cims.nyu.edu.
Additional Context / Real-World Relevance
The application of machine learning in healthcare, particularly in rehabilitation, holds the potential to transform patient care. By leveraging advanced methodologies, researchers can analyze sensor and camera data to quantify rehabilitation efforts, ultimately aiming to enhance motor recovery in stroke patients. This research aligns with broader trends in AI and healthcare, where technology is increasingly utilized to improve clinical outcomes.
Conclusion
This postdoctoral position at NYU presents a compelling opportunity for researchers passionate about the intersection of machine learning and healthcare. Interested candidates are encouraged to apply and contribute to impactful research in this vital area.
Category: PhD & Postdoc Positions
Tags: machine learning, deep learning, healthcare, neurology, data science, rehabilitation, domain adaptation, semi-supervised learning
