Job Description
national institute of technology announced job notification for the positions of short term course on advanced optimization techniques for engineering applications (aotea-18) in the department of and in section of , . This job position short term course on advanced optimization techniques for engineering applications (aotea-18) located in kurukshetra and in state haryana. This job position is categorized as '' jobs.
The educational qualifications for this job position short term course on advanced optimization techniques for engineering applications (aotea-18) specified as . Eligibility conditions for job position short term course on advanced optimization techniques for engineering applications (aotea-18) mentioned as Course Details The main objective of this short-term course is to provide a forum in which the participants obtain information about recent advances in optimization techniques.Italso highlights successful applications of optimization in various areas. It comprises of sessions for the participants to introduce them to a number of modern optimization methodologies and their application/case studies from a wide variety of real world interdisciplinary engineering problems. Owing to the interdisciplinary nature of this course, participants across the disciplines will be able to attend, appreciate and augment their knowledge to keep with the emerging advanced techniques. The course intends to focus on advances in the following domains, but is not limited to: • Optimization Techniques –introduction • Recent Meta-heuristics - Spider Monkey Optimization • Bat algorithm • Cuckoo search optimization • Genetic Algorithm (GA), Swarm Intelligence, Ant Colony Optimization (ACO) • Teaching-Learning Based Optimization (TLBO) algorithm, Differential Evolution (DE) • Neural network based and fuzzy based optimization. and required experience levels for this job position short term course on advanced optimization techniques for engineering applications (aotea-18) are as follows .
The salary or payscale for short term course on advanced optimization techniques for engineering applications (aotea-18) is .
The total number of vacancies or positions are 1. Out of which for General/Un-Reserved/OC (Other Castes) vacancies are 0. For OBC (Other Backward Classes) total positions reserved are 0. For SC (Scheduled Castes) category job positions reserved are 0 and for ST (Scheduled Tribes) category job positions reserved are 0. For all other categories of reservations total positions alloted are .
The minimum and maximum age limits to apply for job short term course on advanced optimization techniques for engineering applications (aotea-18) is minimum age limit is 0 and maximum age limit is 0.
The more and other important information related to this job specified as For further details visit: http://www.nitkkr.ac.in.
Important dates to be remembered related to this notification are as follows.
Date of Issue of Notificaition : . Applications will be issued from date and last date to submit applications is . The admit cards will be issued from to . The Priliminary Examinations will start from and will lasts upto date of .
The Preliminary Examinations Results will be announced on date . The Main Examinations will start from date and will ends on . The answer keys for mains examinations will be announced on . The results for Main Examinations will be declared or announced on date . Job Interviews for this job positions short term course
on
advanced optimization techniques for
engineering applications (aotea-18) will be held from date and will ends on date . The final results or shortlisted persons for this job short term course
on
advanced optimization techniques for
engineering applications (aotea-18) will be announced on .
This notification issued by which is located in city and in state .
For More Details related to this Notificaition, for Complete Job Details and for complete Notificaition, Please visit the official website of organization .
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Job Organization / Department
- national institute of technology
Job Positions
- short term course on advanced optimization techniques for engineering applications (aotea-18)
Job Educational Qualifications
Job Eligibility Details
- course details the main objective of this short-term course is to provide a forum in which the participants obtain information about recent advances in optimization techniques.italso highlights successful applications of optimization in various areas.
- it comprises of sessions for the participants to introduce them to a number of modern optimization methodologies and their application/case studies from a wide variety of real world interdisciplinary engineering problems. owing to the interdisciplinary nature of this course, participants across the disciplines will be able to attend, appreciate and augment their knowledge to keep with the emerging advanced techniques.
- the course intends to focus on advances in the following domains, but is not limited to: • optimization techniques –introduction • recent meta-heuristics - spider monkey optimization • bat algorithm • cuckoo search optimization • genetic algorithm (ga), swarm intelligence, ant colony optimization (aco) • teaching-learning based optimization (tlbo) algorithm, differential evolution (de) • neural network based and fuzzy based optimization.
Job Experience Requirements
Job City, State
- kurukshetra, haryana
Job Total Vacancies
- 1
Job Reservation Details
- General / Un-Reserved : 0
- OBC : 0
- SC : 0
- ST : 0
- Others :
Job Payscale / Salary
Job Age Details
- Minimum Age : 0
- Maximum Age : 0
Job More Information
- for further details visit: http://www.nitkkr.ac.in.
Important Dates
Start Date | End Date | |
---|---|---|
Applications | 03-Jan-2018 | |
Admit Cards | 05-Jan-2018 |
Notification Issued By
- Organization :
- Organization City, State :
- Organization Website :
- Job Organization
- Job Ministry / Department
- Job Position
- Job Group
- Job City
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- Job Educational Qualification
- Job Eligibility
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- Job Payscale / Salary
- Job Total Vacancies
- Job Reservation Details
- Job Age Details
- Job More Info