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Indraprasthta Institute of Information Technology (IIIT) Delhi PhD Admission 2017 notification released

By   /  March 11, 2017  /  Comments Off on Indraprasthta Institute of Information Technology (IIIT) Delhi PhD Admission 2017 notification released

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New Delhi: Indraprasthta Institute of Information Technology (IIIT) Delhi is looking for eligible candidates for admission to PhD programmes April 2017. The PhD programmes are available in the following streams: Computer Science and Engineering (CSE), Electronics and Communications Engineering (ECE), Computational Biology (CB), and Mathematics.

The online submission of application has opened since 01 March 2017. The closing date for online submission of application is 22 March 2017. There is no application fee for PhD program. IIIT-Delhi is an autonomous university in Delhi, India. IIIT-Delhi was ranked 56th among universities category in 2016 by National Institutional Ranking Framework (NIFR-2016).

Eligibility Criteria:

PhD (CSE)/ PhD (ECE)

BTech/ BE/ MTech/ MS/ ME in CSE/ IT/ ECE/ EE with a CGPA at least 7.5 on a scale of 10 (or equivalent) or 70%

OR

MCA/MSc (CSE/IT/ECE/EE and allied areas) degree is considered equivalent to the BTech/BE degree. Such students are eligible to apply with a condition that they have BSc in Computer Science or BSc in any other subject with Mathematics as one of the courses. The marks requirement is same as given above.

OR

MSc in Mathematics with at least 70% marks in both B.Sc and M.Sc or 7.5 CGPA and strong inclination towards CSE/ECE.

PhD (CB)

Essential qualification for PhD (CB) students: A valid GATE score/National Fellowship (e.g. CSIR-UGC NET, DST INSPIRE, ICMR-JRF, DBT-JRF)

AND

BTech / BE / MTech / MS / ME in CSE / IT / ECE / EE / Other Engineering with a CGPA of at least 6.5 on a scale of 10 (or equivalent) or 60% .

OR

MCA/MSc (CSE/IT/ECE/EE and allied areas) degree is considered equivalent to the BTech/BE degree. Such students are eligible to apply with the condition that they have BSc in Computer Science or BSc in any other subject with Mathematics as one of the courses. The marks requirement is same as given above for BTech/BE degrees.

OR

MSc in any other science discipline with at least 60% marks in both B.Sc and M.Sc. and candidate should have their own fellowship through national examination like CSIR-UGC NET, DST INSPIRE, ICMR-JRF, DBT-JRF (they will not be eligible for fellowship from the Institute). If admitted, these candidates may have to do additional courses in Mathematics and/or Computing, as needed.

PhD (Mathematics)

Essential qualification for PhD (Mathematics) students: JRF from either UGC/CSIR/NBHM/DST or GATE score at least 400.

AND

MSc(Maths)/MSc (Physics)/MSc(Statistics)/ MStat/MPhil(Maths)/ BTech/ MTech/ BE / ME in CS/ ECE/ Maths & CS and similar inter-disciplinary programs with a CGPA of at least 7.5 on a scale of 10 (or equivalent) or at least 70% marks at UG and PG levels.

For exact eligibility conditions, how to apply and other details, interested candidates should visit the PhD admission page of the official website of IIIT-Delhi.

Financial Benefits: IIIT-Delhi has more than 125 PhD scholars while many are getting fellowships viz Prime  Minister’s Fellowship, IBM, Intel, TCS, Visvesvaraya. IIIT-Delhi offers a stipend of Rs27,000/- per month in the first year and up to Rs.30,000/- after the 2nd Year to PhD candidates.

The institute has informed that candidates in the final year of their programs and who expect to complete all their qualifying degree requirements before the date of registration are also eligible to apply for admissions. For short-listing and selection purposes, their performance until the preceding semester (preceding year if their programs are year based) would be considered but their admission would be provisional, subject to their meeting the minimum eligibility criteria, after their final qualifying examination results are announced.

List of Research Areas:

PhD (Computer Science and Engineering)

Big Data

Image Processing/ Machine Learning/ Applied Machine Learning

Mobile Computing

Program Analysis

Randomized & Quantum algorithm, Algorithms for data mining and security/privacy

Virtual reality (VR) and 3D visualization

PhD (Electronics and Communications Engineering)

Heterogeneous System Architectures

Machine Learning

Multi Robot Systems, Aerial Vehicle and Control Systems

Nanoelectronics

Optical/Wireless Communications

Radar / Antennas

RF/THz over Fiber

Signal and Image Processing

PhD (Computational Biology)

Bioinformatics

Cancer Genomics

Computational Biology

Computer-aided Medicine

Genome & Image based Biomarkers

Informatics for designing Drug and Vaccine

Mobile apps for Biotechnology

Operating system for Biocomputing

Statistical Genomics

PhD (Mathematics)

Algebra

Applied and Computational Math

Biomath

Coding Theory

Number Theory

Application Process

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