The Dual Degree Ph.D. Program on Neural Computation seeks to train new scientists in the field. Computational neuroscience is an area of brain science that uses technology to develop and analyze large data sets that are used to understand the complexities of neurobiological systems. In recent years, these methods have become more and more vital to the field of neuroscience as a whole. The use of quantitative methods in neurophysiology has led to important advances, and there has been a continuing stream of related work within mathematics and applied physics. More recently, engineers, computer scientists, and statisticians have contributed to the field, further expanding the definition of computational neuroscience.
For more information please contact us at apply[at]cmuportugal.org
The Neuroscience Institute, affiliated with the Mellon College of Science and the Dietrich College of Humanities and Social Sciences at Carnegie Mellon University, offers the dual degree Ph.D. in Neural Computation together with:
This program is designed to attract students with strong quantitative backgrounds (in computer science, physics, statistics, mathematics, and engineering) and to train them in quantitative disciplines relevant to neuroscience and provide them with the essential background in experimental neuroscience.Â
It is aimed at those who are interested in computational neuroscience, particularly with an emphasis on quantitative methods from computer science, machine learning, statistics and nonlinear dynamics.
The Program, course structure and requirements are available at the Neuroscience Institute’s website.
The thesis will be co-advised by at least two co-advisers, one from CMU and one from a Portuguese partner University
The student will be awarded with a dual degree Ph.D conferred by CMU and another by the Portuguese partner University. During the Ph.D., the student should comply with the regulations of both Universities.
The number of investigators with requisite skills who are acÂtively engaged in this domain of research is relatively small. There is a widely recognized need for increased training in the application of computational, mathematical, and staÂtistical methods to biology and medicine, and to problems in neuroscience in particular.
The Ph.D. Program in Neural Computation seeks to train new scientists in the field. The environment at Carnegie Mellon University and the University of Pittsburgh has much to offer to students interested in computational approaches and it is a perfect home for the Ph.D. Program in Neural Computation. The neuroscience community in Pittsburgh is known for being particularly strong in computation.Â
5 years (full-time), with up to 2 years at CMU and up to 3 years at a Portuguese University.
The Ph.D. students enrolled in the dual degree Ph.D. program will receive financial support through an FCT - CMU Portugal Fellowship (includes tuition fees and a monthly stipend).
The following documents are usually required, although the candidate should carefully read the announcement of the call available on the "Admissions and Scholarships" webpage for the complete information on the required documents.
You must submit the following documents with your application:
• CV (pdf.)
• A statement of purpose — a concise one- or two-page essay describing your primary research interests, related experiences and objective in pursuing a Ph.D. in computer science
• Graduate Record Examination (GRE) is not required
• English proficiency: If your native language is not English or you have not graduated from a U.S. university, you must submit a TOEFL or IELTS test. Duolingo tests are also accepted in case you are unable to to test for TOEFL or IELTS
• Transcripts from each college and/or university you attended, even if no degree was granted (pdf.)
• Three letters of recommendation, at least two of which are from faculty or recent employers
