Connectionists: Multiple fully-funded Ph.D. positions in Artificial Intelligence at the University of Memphis, USA

[Bonny Banerjee]

(Apologies if you receive multiple copies of this announcement.)

Multiple fully-funded Ph.D. positionsin ArtificialIntelligence (AI) areavailable from January 2017 in the Department of Electrical & Computer Engineering (EECE),University of Memphis, USA. A Ph.D. student will work as aresearch assistant which willprovide full financial support that includes tuition fees and a monthly stipend.Obtaining a Ph.D. typically requires 4-6 years.

The students will be associated with the Computational Intelligence Laboratory affiliated with theDepartment of EECE and theinterdisciplinary Institute for Intelligent Systems. The students will workunder the supervision of Dr. Bonny Banerjee (http://sites.google.com/site/bonnybanerjee1),and will have the opportunity to collaborate with researchers from differentacademic units at the University of Memphis as well as collaborators from otheruniversities of international repute.

Research will involve investigating computational approaches to answeringfundamental questions in sensory perception, action and cognition, such as, howdo we learn the different objects/behaviors in our environment, how do wefilter different kinds of noise without any prior model of the noise,  how do we act proactively to garnerefficiency, and so on. Our current focus is on investigating a deep predictivecoding model to answer these fundamental questions. This research exists at theconfluence of artificial intelligence, machine learning, cognitive science, andcomputational neuroscience, with applications to smart healthcare and smartcities using the Internet of Things. 

 An ideal candidate will posses thefollowing:

1.      Experience with implementing basic machine learning (regression,classification, clustering) and neural network algorithms (e.g., supportvector machine, k-means clustering, multilayered perceptron trained withbackpropagation, self-organizing map).

2.      Experience with computer vision or audio/speech processing.

3.      Strong motivation in pursuing research in AI, neural networks,machine learning, with application to interesting real world problems.

4.      Strong mathematical and programming skills.

5.      Masters degree in Electrical/Computer Engineering, ComputerScience, Physics, Mathematics, Statistics, or in a related area. Exceptionalcandidates with a 4-year Bachelors degree will also be considered.

 Informal inquiries should be directed to Dr. Bonny Banerjee (bbnerjee at memphis.edu).For formal application procedure, please visit the admissions webpage (see linksbelow).

Important links:

University of Memphis         http://www.memphis.edu

Department of Electrical &Computer Engineering          http://www.memphis.edu/eece

Institute for IntelligentSystems      http://iis.memphis.edu

Admissions                            http://www.memphis.edu/graduateadmissions/future/apply_grad.phpPh.D. degree requirements  http://www.memphis.edu/eece/programs/phd.phpEECE course catalog             http://www.memphis.edu/gradcatalog/degree_planning/course_descriptions/engr/eece.php



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