Post Doctoral Fellow @Bengaluru Campus

AMRITA VISHWA VIDYAPEETHAM; Hinoba-an; On-site; PHP 398,000 - 663,000; Full time

Job summary

Amrita Vishwa Vidyapeetham, Bengaluru Campus, invites applications for the Post Doctoral Fellow position. The role emphasizes metaheuristic and swarm intelligence algorithms to solve single- and multi-objective optimization problems, alongside AI/ML/DL based computational models.

The candidate will work on engineering optimization in Renewable Energy, Power Systems, EVs, image processing, and aerospace, coupled with mathematical modeling, simulation, and AI-driven optimization for

Qualifications

• PhD in a relevant field as stated in the post.
• Strong background in metaheuristics and swarm intelligence.
• Experience with AI/ML/DL based models and optimization techniques.

Responsibilities

• Develop metaheuristic and swarm intelligence algorithms for single-objective and multi-objective problems.
• Work on AI/ML/DL based computational models.
• Apply engineering optimization to Renewable Energy, Power Systems, EVs, image processing and related areas.
• Model and simulate problems using AI-driven optimization techniques.

Skills

Metaheuristics

Swarm Intelligence

Artificial Intelligence

Machine Learning

Deep Learning

Optimization

Education

PhD in Mathematics

PhD in Computer Science

PhD in Operations Research

PhD in related field

Job description

Amrita Vishwa Vidyapeetham, Bengaluru Campus is inviting applications from qualified candidates for the post of Post Doctoral Fellow

Qualification Ph. D in Mathematics, Computer Science, Operations Research or a related field from an esteemed university

Job Description

• Metaheuristic and Swarm Intelligence Algorithms for solving single-objective and multi-objective optimization problems.
• Artificial Intelligence, Machine Learning, and Deep Learning-based computational models.
• Engineering Optimization applications in Renewable Energy Systems, Power Systems, Electric Vehicles, Image Processing, Aerospace Engineering, and Feature Selection.
• Mathematical Modeling, Simulation, and AI-driven optimization techniques for interdisciplinary scientific and engineering problems.

Job Category

Job Category Research

Last Date to Apply