PhD candidates are solicited in the Department of Electrical and Computer Engineering (ECE) at the University of Alabama (UA). The candidates will join the Laboratory for Immersive Communication [lion.ua.edu] headed by Prof. Jacob Chakareski. The lab features state-of-the-art equipment: head/wall-mounted immersion displays, high-definition visual/range sensors, augmented/virtual reality (VR/AR) goggles, UAV drones, and 5G/LTE-A MIMO SDR boards. The positions are fully funded (stipend & tuition for up to four years) and are available immediately, once the suitable candidates pass the application requirements.
Students at the B.S. or M.Sc. level with background in Electrical and Computer Engineering, Computer Science, or Applied Mathematics are encouraged to apply. The accepted candidates will work on exciting research problems at the intersection of immersive communication, future Internet architectures, and virtual/augmented reality. We also investigate airborne networks and UAV swarms for remote sensing applications, and the integration of multi-view imaging into cyber-physical health care devices.
Solid mathematical background and knowledge of programming languages and software tools (e.g., Matlab, NS-2/3) is required. Above all, the applicants must be self-motivated to learn quickly and work effectively on challenging research problems. For a description of recent research activities carried out by Prof. Chakareski, please visit the site www.jakov.org.
Application process: Please send your CV in attachment to firstname.lastname@example.org and specify in the subject line “Application for ECE PhD positions at UA”. Please describe briefly your background and research interests in the e-mail. Include a one page research statement describing your qualifications and how you can contribute to our own studies (summarized on the two web sites referenced earlier).
GRE and IELTS/TOEFL (for international applicants) exam scores are required for the university application. The applicant is encouraged to include in the application coursework transcripts and arrange for three reference letters to be sent separately to Prof. Chakareski. PDF copies of research articles authored by the applicant are welcome to be included, too.
- A. Khreishah, J. Chakareski, and A. Gharaibeh, “Joint Caching, Routing, and Channel Assignment for Collaborative Small-Cell Cellular Networks,” IEEE J. Selected Areas in Communications, Q2 2016.
- J. Chakareski, “Joint Source-Channel Rate Allocation and Client Clustering for Scalable Multistream IPTV,” IEEE Trans. Image Processing, Aug. 2015.
- A. Khreishah and J. Chakareski, “Collaborative caching for multicell-coordinated systems,” in Proc. ACM/IEEE INFOCOM Workshop Communication and Networking Techniques for Contemporary Video, Apr. 2015.
- J. Chakareski, V. Velisavljević, and V. Stanković, “View-popularity-driven joint source and channel coding of view and rate scalable multi-view video,” IEEE J. Selected Topics in Signal Processing, Apr. 2015.
- I. Kayes and J. Chakareski, “Retention in Online Blogging: A Case Study of the Blogster Community,” IEEE Trans. Computational Social Systems, Mar. 2015.
- J. Chakareski, “Uplink scheduling of visual sensors: When view popularity matters,” IEEE Trans. Communications, Feb. 2015.
- J. Chakareski, “Vertex Selection via a Multi-Graph Analysis,” Elsevier Signal Processing, Sep. 2014.
- J. Chakareski, “Social video caching,” Elsevier Signal Processing: Image Communication, Apr. 2014.
- J. Chakareski, “Wireless streaming of interactive multi-view video via network compression and path diversity,” IEEE Trans. Communications, Apr. 2014.
- J. Chakareski, “Transmission policy selection for multi-view content delivery over bandwidth constrained channels,” IEEE Trans. Image Processing, Feb. 2014.
- J. Chakareski, V. Velisavljević, and V. Stanković, “User-Action-Driven View and Rate Scalable Multiview Video Coding,” IEEE Trans. Image Processing, Sep. 2013.
- J. Chakareski, “Adaptive multi-view video streaming: Challenges and opportunities,” IEEE Communications Magazine, May 2013.
- J. Chakareski, “Bridging social and data networks,” IEEE Signal Processing Magazine, Mar. 2012.
- N. Thomos, J. Chakareski, and P. Frossard, “Prioritized Distributed Video Delivery with Randomized Network Coding,” IEEE Trans. Multimedia, Aug. 2011.
About: The University of Alabama (www.ua.edu) is a major, comprehensive, student-centered research university founded in 1831 as the first public college in Alabama. The University of Alabama consistently ranks among the top 50 public national universities according to the U.S. News and World Report annual rankings.
Employer: Electrical and Computer Engineering (ECE), the University of Alabama (UA).
Expiration date: Friday, June 30, 2017
More information: http://www.jakov.org