Departments and Specializations

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1 Departments and Specializations Department Post Specialization Areas Aerospace Engineering: Only candidates with a clear focus on one or more of the specified areas will be considered Experimental Structural Mechanics/Composites Aircraft Aerodynamics (Experimentalists preferred) Control and Flight Mechanics of Aerospace vehicles Aircraft Design (aerodynamic/structural) Structural Dynamics and Acoustics Applied Mechanics Mechanics and Design of Soft/Composite Materials Geological Fluid Dynamics, BioSensors, Mechanics of Polymer Thin films Chemical Engineering Applicants should have at least one degree in Chemical Engineering Energy- Thermochemical processing of fuels; Unconventional energy sources; Carbon capture and sequestration; Electrochemical energy systems; Process intensification; Process Safety. Environment - Aerosol fate and transport; Water resources; Management and recovery of large scale ecological systems; Environmental sensors. Materials - Synthesis and surface chemistry of functional materials; Non - equilibrium statistical mechanics/ multi-scale/ ab initio modelling. Systems Biology - Bioinformatics; Modelling of disease inception, growth and treatment; Biological network analysis. All areas of Chemical Engineering 1

2 Chemistry Candidates with Basic and Masters Degree in Chemistry only need apply Synthetic Organic Chemistry with specialization in reactive intermediates Electrochemical energy conversion-storage materials and systems Civil Engineering Building Sciences, Infrastructure / Construction Management (with basic degree in Civil Engineering or Architecture) Solid Waste Management (with at least a degree in Civil Engg or Chemical Engg) Structural Health Monitoring, Fire & Wind Engineering (with basic degree in Civil Engineering) Transportation Engineering Geotechnical Engineering Environmental Engineering Computer Science and Engineering All areas of Computer Science and Engineering All areas of Computer Science and Engineering Electrical Engineering Outstanding candidates in any other areas relevant to EE may also be considered Image Processing, Computer Vision, Machine Learning, Speech processing, Optical Communication Power Systems Protection, High Voltage, and Power Electronics Applications MEMS, Microelectronics, Nano electronics/photonics All areas of analog and digital VLSI 2

3 Sensors and instrumentation, control (Optimization, Multiagent control, control of networks/infrastructures, systems & synthetic biology) Engineering Design Candidates should have demonstrated significant research output in one or more of the indicated areas Computational EM, Terahertz Engineering All areas of Electrical Engineering Automotive Electronics, Embedded System, Electric / Hybrid Vehicle Design - required at least one degree in electrical / electronics / allied areas Biomedical Electronics, Embedded System, Medical Device Design, Medical Robotics, Inverse Problems in Biomedical Imaging - required at least one degree in biomedical or electrical/ electronics / allied areas Automotive Electronics, Embedded System, Electric / Hybrid Vehicle Design - required at least one degree in electrical / electronics / allied areas Biomedical Electronics, Embedded System, Medical Device Design, Medical Robotics, - required at least one degree in biomedical or electrical / electronics / allied areas Robotics System Design, Mechanical Characterization of Materials for Design and Manufacture, Treatment of Uncertainties in Design and Optimization Humanities and Social Sciences English Literature; Linguistics Industrial Economics; Gender Studies 3

4 Management Studies Information Systems, Marketing Management Organizational Behaviour, Marketing Management, Operations Management Mathematics Discrete Mathematics, Complex Analysis, Functional Analysis Number Theory, Probability and Mathematical Statistics Topology and Geometry Algebraic Topology, Algebraic Geometry, Differential Equations Discrete Mathematics, Functional Analysis, Linear Algebra Probability and Mathematical Statistics Mechanical Engineering Robotics in Manufacturing, Metrology and Inspection Machine Tools- Design & Dynamics, Metal forming Additive manufacturing, Robotics and control, Rehabilitation Engineering, Experimental Mechanics including Tribology Structural Health Monitoring, Turbomachinery, Cryogenic Engineering, Micro/bio fluidics, Solar Thermal Systems All areas of Mechanical Engineering Metallurgical and Materials Engineering Bio Materials, Metal Casting Applicants should have at least one degree (bachelor / master) in Metallurgical or Materials Engineering High temperature deformation of Complex Alloys Ceramics and Metal Matrix Composites 4

5 Ocean Engineering Ph.D Relevant to Ocean Engineering / Petroleum Engineering with excellent academic records with bachelor's degree in engineering in Naval Architecture/ Civil/ Mechanical/ Ocean/ Petroleum. Post Doctoral Research/ Industry experience in an area relevant to Naval architecture/ Ocean Engineering/ Petroleum Engineering. Ph.D Relevant to Ocean Engineering / Petroleum Engineering with excellent academic records with bachelor's degree in engineering in Naval Architecture/ Civil/ Mechanical/ Ocean/ Petroleum. Post Doctoral Research/ Industry experience in an area relevant to Naval architecture/ Ocean Engineering/ Petroleum Engineering. Physics Soft Condensed Matter Experiments, High energy physics experiments/phenomenology, Gravitational waves and Cosmology, Quantum optics/quantum information, and Theoretical condensed matter physics. All areas of Physics 5

6 Interdisciplinary areas: IIT Madras recognizes the importance of interdisciplinary areas. The candidates are encouraged to send their applications to departments in which they are best suitable as well as to the virtual interdisciplinary department. The candidates will be categorized as interdisciplinary if (a) their research interests are in one or more of the areas above and (b) such research cannot be done in one department alone. Inter-disciplinary Post Areas Computational Brain Research Computational neuroanatomy; neural data analysis; engineering theories of the brain; analysis of neural circuits; neuroinformatics; neuronal signal processing and modeling of cognition; neurally inspired machine learning; neuromorphic computing; cognitive computing Computational Biology & Complex Systems: Computational Biology & Complex Systems: Genomic, proteomic and metabolomic data analysis; Network modeling in biology; Control systems in biology Additional information: Candidates may visit websites of individual departments for more specific information on departments and for any of the additional details. 6

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