Harvard University Postdoctoral Scholar in Machine Learning and Computational Biology in Cambridge, Massachusetts
Title Postdoctoral Scholar in Machine Learning and Computational Biology
School Faculty of Arts and Sciences
Department/Area Center for Advanced Imaging
Harvard is seeking applicants for a postdoctoral position in Machine Learning and Computational Microscopy.
A postdoctoral position is currently available at the Center for Advanced Imaging at Harvard with Dr. Dushan Wadduwage to develop novel computational imaging technologies for microscopy. We seek life and physical scientists with a background in machine learning, computational imaging, or both.
Research will focus on designing and developing novel computational imaging methods hand in hand with novel optical microscopy architectures. We work on optimizing these two aspects to build instruments capable of enabling new biological experiments. Candidates will work with an interdisciplinary research team of microscopists, computer scientists, and biologists from Harvard and MIT.
A PhD in computer science, physics or a related field, by the time the appointment begins, and an interest in bio-imaging are required. Previous research experience related to optics or biology is an advantage.
Please submit the following application materials as a single PDF to firstname.lastname@example.org with the subject line “Application Submission: Postdoctoral Scholar” 1. Cover Letter 2. Curriculum Vitae 3. A statement of research experience and interests (two pages maximum) 4. Names and contact information for three references who will be contacted to provide a recommendation after approval from the candidate.
For further questions please contact Dr. Dushan Wadduwage, PhD at email@example.com
Contact Email firstname.lastname@example.org
Equal Opportunity Employer
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Minimum Number of References Required 3
Maximum Number of References Allowed 5