NIT Andhra Pradesh PhD Admission 2022-23 Dates Eligibility

NIT Andhra Pradesh PhD Admission 2022-23: National Institute of Technology Andhra Pradesh, Tadepalligudem, is an Institute of National Importance, established in the A.Y. 2015. It is a fully-funded Institute under the Ministry of Education, Government of India, has released notification for Ph.D. Admission July 2022.

NIT Andhra Pradesh PhD Admission 2022-23: Important Dates

The last date for submitting the online applications is 13th June, 2022 (5:00 PM).

NIT Andhra Pradesh PhD Admission 2022-23: Application Fee

The candidates must pay the required application fee of Rs.1000/- (Rs.500/- for SC/ST/PwD categories) for each programme/department/school/discipline only through SBI i-collect and the payment procedure is given in Annexure ‘B’. Application fee once paid is non-refundable.

Modes of PhD & M.S. Programme

Ph.D. Full-Time – Stipendiary Category
Ph.D. – Project category
Ph.D. (Part-Time)
M.S. (by Research

NIT Andhra Pradesh PhD Admission 2022-23: Eligibility Criteria

Eligibility Criteria for Ph.D. Programme in Engineering (Full-Time)

Candidates applying for Ph.D. (Full-Time) programme in Engineering branches should satisfy all the
criteria listed below.

Candidates with a Master’s degree in Engineering/Technology or a Master’s degree by Research in Engineering/Technology in appropriate branches*.
Candidates belong to UR/EWS/OBC-NCL category must have secured 60% (or above) aggregate marks (CGPA of 6.5) either at UG or PG level examination. For SC/ST/PwD candidates, 55% aggregate (or above) marks or equivalent CGPA of 6.0 is essential either at UG or PG level.
Candidates should have qualified GATE or NET in the relevant disciplines.

*Note: “The candidates with B.Tech. and M. Tech. degrees in the relevant branches of Bio-Technology,
Chemical Engineering are eligible to apply for Ph.D. (Full-Time/Part-Time) programmes in the Department of Bio-Technology, Department of Chemical Engineering, respectively.”

Eligibility Criteria for Ph.D. Programme in Engineering (Part-Time)

Candidates applying for Ph.D. (Part-Time) programme in Engineering branches should satisfy all the
criteria listed below.

Candidates should be working on a regular basis in reputed research organizations/Academic Institutions/ Industries with a minimum experience of two years.
Candidates with a Master’s degree in Engineering/Technology or a Master’s degree by Research in Engineering/Technology in appropriate branches*.
Candidates belong to UR/EWS/OBC-NCL category must have secured 60% (or above) aggregate marks (CGPA of 6.5) either at UG or PG level examination. For SC/ST/PwD candidates, 55% aggregate (or above) marks or equivalent CGPA of 6.0 is essential either at UG or PG level.

Eligibility Criteria for PhD Programme in Sciences and English (Full-Time)

Candidates applying for Ph.D. (Full-Time) programme in Sciences & English should satisfy all the criteria
listed below.

Candidates with a Master’s degree in Sciences/English in relevant branch of Science/English.
Candidates belong to UR/EWS/OBC-NCL category must have secured 60% (or above) aggregate marks (CGPA of 6.5) either at UG or PG level examination. For SC/ST/PwD candidates, 55% aggregate (or above) marks or equivalent CGPA of 6.0 is essential either at UG or PG level.
Candidates should have qualified GATE or UGC/CSIR-NET in relevant discipline.

Eligibility Criteria for PhD Programme in Sciences and English (Part-Time)

Candidates applying for Ph.D. (Part-Time) programme in Sciences and English should satisfy all the
criteria listed below.

Candidates with a Master’s degree in Sciences/English in relevant branch of Science/English.
Candidates belong to UR/EWS/OBC-NCL category must have secured 60% (or above) aggregate marks (CGPA of 6.5) either at UG or PG level examination. For SC/ST/PwD candidates, 55% aggregate (or above) marks or equivalent CGPA of 6.0 is essential either at UG or PG level.
Candidates should have qualified GATE or UGC/CSIR-NET in the relevant discipline.
Candidates should be working on a Regular basis in reputed research organizations/Academic Institutions/Industries with a minimum experience of two years.

Eligibility Criteria for M.S. (by Research) Programme

Candidates applying for M.S. (by Research) in Engineering/Technology should satisfy all the criteria listed below.

Candidates should have a Bachelor’s degree in Engineering/Technology with a good academic record.
Candidates should be working on a Regular basis in reputed research organizations/Academic Institutions/ Industries with a minimum experience of two years.

Selection Procedure

Ph.D. (Full-Time/Part-Time) and M.S. (by Research) – Written Test and/or Interview.

List of Departments and Research Areas

Department of Bio-Technology
- Biotechnology/ Industrial Biotechnology
- Food and Biochemical Engineering/ Bioprocess Engineering/ Bioprocess Technology
- Biopharmaceutical Technology/ Bioinformatics
- Nano-science and Engineering
- Industrial Biotechnology
- Enzyme & Fermentation Technology
- Downstream processing
- Biopolymers
- Environmental Biotechnology
- Functional Foods Development
- Plant Biotechnology
- System Biology.
Department of Chemical Engineering
- Phase Change materials
- Synthesis and Applications of Nanoparticles
- Interfacial Science
- Environmental Engineering
- Inorganic Membranes
- Fruit Juice Clarification
- Wastewater Treatment
- Bio-Separations
Dept. of Civil Engineering
- Ground Improvement Techniques
- Soil Dynamics and Geotechnical Earthquake Engineering Foundation Systems for High- Rise Structures
- Water and wastewater Treatment
- Emerging Pollutants and it’s Fate in Aquatic System
- Remote Sensing & GIS
- GIS-based hydrological modelling
- Soft computing techniques
- Watershed modelling
- Solid Waste Management
- Environmental Geo-technics
- Impact of climate change on hydrological extremes
- Surface Hydrology
- Integrated watershed management
- Fracture mechanics- Crack propagation analysis
- Unsaturated Geomaterials
- Thermal properties of soils
- Sensors for soil crack monitoring
Dept. of Computer Science & Engineering
- Cloud Computing
- Probabilistic Graphical Models
- Machine Learning for Language, Vision and Control
- Parallel and Distributed Algorithms
- Educational Data Mining
- Deep Learning for Vision and NLP
- Query Optimization for Big Data Computing
- Privacy Preserving Data Mining
- Big Data Analytics
- Soft Computing
- Cryptography & Information Security
- Quantum enhanced probabilistic graphical models
- Quantum Machine Learning
Department of Electrical Engineering
- Power Electronics (DC – DC converters / High Power Factor converters / Multilevel Inverters)
- Electric Drives (IM, PMSM, SRM, SynRM)
- Design of Electric Machines
- Renewable Energy and Microgrids (Off-grid / grid connected)
- Hybrid and Electric Vehicles
- Electric Vehicle Charging Infrastructure
- Smart Grids Technologies and Integration
- Artificial Intelligence & Machine Learning applications in Energy Systems / Power Systems
- Modern Power Systems (Operation / Stability / Control / Optimization / Security)
- DSP / FPGA based Real -Time Embedded Systems
- Assistive Technologies
- Deep learning and image processing
Department of Electronics & Communication Engineering
- VLSI Signal Processing
- Microwave/Millimeter wave Filters
- High Power Microwave Devices
- Vacuum Electron Devices.
- UAVs for wireless networks
- Distributed sensor networks
- Data fusion in IoT
- Resource Allocation in Wireless Networks,
- Information Theory, and Theory of Error Control Codes.
- Antennas
- Microwave/ Millimeter Wave Sensors
- Microwave/Millimeter Wave Circuits
Department of Mechanical Engineering
- IC Engines
- Emissions Control
- Refrigeration and Air-Conditioning
- Energy Efficient Buildings
- Renewable Energy
- Alternative fuels
- Energy Systems
- Alternative Energy Systems
- Manufacturing (Forming and Casting)
- Advanced and Smart Materials (Ni, Ti, Steels and other materials) for Mechanical, Thermal and Electrical Applications
- Development and Properties evaluation of Metal Matrix
- Composites
- Development and Properties evaluation of Polymer Matrix composites and Carbon – Carbon Composites
- Advanced Materials
- Additive Manufacturing
- Advanced Machining Technologies
- Manufacturing processes
- Modelling and Simulation of Mechanical Systems
Dept. of Metallurgical & Materials Engineering
- Welding Metallurgy
- Corrosion of Welds
- High Temperature Materials
- Composite Materials
- Powder Metallurgy
- ODS Steels
- Materials Characterization
Department of Mathematics (School of Sciences)
- Wave Mechanics
- Elasto-dynamics
- Differential Equation
- Mathematical Physics
- Dynamical Systems
- Thermoelasticity
- Linear Algebra
- Functional Analysis
Department of Physics (School of Sciences)
- Experimental Condensed Matter
- Strongly Correlated Electron Systems
- Multifunctional Properties of Magnetic Oxides
- Magnetism and Superconducting properties of bulk and thin films.
- Multifunctional Properties of Bulk and Thin films of Heusler Compounds
- Optical and Photonic Materials
- Growth of Single crystals
- Luminescent glasses
- Nano Phosphor materials for white LED applications
- Materials for Energy harvesting Applications
Department of Chemistry (School of Sciences)
- Synthetic methodologies
- Peptide and polysaccharide based nanostructured materials
- Molecular self-assembly
- Corannulene chemistry
- Synthesis of novel antimicrobial agents.
- Glyconanoparticles
Department of English (School of Humanities & Management)
- African American Theatre
- First Nations Theatre
- Diaspora Studies
- Gender Studies