Postdoctoral Fellow (MGH/Harvard Medical School)
Wednesday 6th January 2021
The Quantitative Translational Imaging in Medicine (QTIM) Lab (https://qtim-lab.github.io) is an interdisciplinary research group at the Athinoula A. Martinos Center of the Massachusetts General Hospital (MGH) and affiliated with the Health Sciences and Technology Program at MIT. We are computer scientists, medical physicists, neuro-oncologists, MRI technicians, and clinical research coordinators. We focus broadly on quantitative and machine learning techniques in medical imaging. We aim to bridge the gap between machine learning research and clinical practice through fruitful connections with our clinical collaborators in and out of the MGH ecosystem.
Postdoctoral Researcher in Machine Learning Applications in Medical Imaging and NLP
You will be a postdoctoral research fellow working in the exciting and dynamic fields of deep learning and medical imaging. Your main focus will be the development of novel deep learning algorithms for the analysis of imaging data in radiology, ophthalmology and oncology, and their translation into clinical use. You will work with clinicians and end-users at the Massachusetts General Hospital to build solutions to real-world problems. Outside of your own projects, you will also have responsibility for mentoring high school, undergraduate, and graduate students working on related projects, and will be supported as you seek independent funding to take the next step in your career. You will also have the opportunity to pursue theoretical projects on novel datasets, and collaborate with clinicians at MGH from a wide range of fields.
· PhD in computer science or related discipline such as mathematics, engineering or physics.
· Publications in relevant conferences and journals
· Experience in image processing or computer vision techniques
· Proficiency in Python required, with experience in C++, R, Julia, or Matlab welcome
· Comfortable using Linux environments and the terminal for running jobs non-interactively
We will consider applicants with any or all of the skills described below, or an ability to learn them independently.
· Familiarity with machine learning and deep learning packages such as PyTorch or TensorFlow
· Experience in working with images in radiology
· Experience working with natural language processing (NLP)
· Experience in using containerization software such as Docker
Why work with us
We believe that our research has real potential to improve the standard of care for patients worldwide. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. We have a history of publications in high impact journals, and you will be encouraged and supported to contribute to that effort. Further, we believe that a healthy work-life balance is the key to a successful academic life, and regularly take time out to go bowling, climbing, kayaking and cooking (when possible)!
How to apply
Do you want to find out more? We would love to hear from you. Please send a message to
Jkalpathyfirstname.lastname@example.org with your C.V., a motivation letter specifying how your research interests align with the lab’s work and the contact information for three references
We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
|Organization||MGH/Harvard Medical School|