Extreme learning to handle 'Big Data'
Unknown, United Kingdom
A funded PhD studentship focusing on Extreme Learning techniques to address challenges associated with 'Big Data' within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. The research aims to develop data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning, particularly in scenarios where mathematical modeling is infeasible and data coverage of process parameters is sparse.
- Unknown, United Kingdom
- 3 years
- On Campus
- ₹23,48,605/Year
Pros & Cons
Not enough reviews to generate pros and cons
Program Overview
A funded PhD studentship focusing on Extreme Learning techniques to address challenges associated with 'Big Data' within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. The research aims to develop data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning, particularly in scenarios where mathematical modeling is infeasible and data coverage of process parameters is sparse.
QS World Ranking
Not Available in Not Available
Class Size
400 Students
Key Features
Specializations Available
AI/ML, Systems, Theory, Human-Computer Interaction
Research Opportunities
Access to cutting-edge research labs and industry partnerships
Admission Requirements
TOEFL®
92.0
Key Dates
Application Start time & Deadline
Starting 2026-01-01
Apply before 2125-04-18
Starting 2025-06-01
Apply before 2125-04-18
Starting 2025-09-01
Apply before 2125-04-18
Program Start
Anytime
Programme Structure
Curriculum:Consequently, it will improve the performance of the learning.Integration of the prior knowledge of the system into the learning procedure will be quite challenging since the key enabler of its very powers is the universal approximation capabilities.Sampled data are generally noisy, outliers occur, and there always exist a risk of overfitting corrupted data.Therefore, the learned function may violate a constraint that is present in the ideal function, from which the training data sampled.
Program Highlights
- Comprehensive curriculum covering all key topics
- Hands-on projects and real-world case studies
- Expert faculty with industry experience
- Career support and placement assistance
Academic Requirements
GPA
3.5
English Language Requirements
TOEFL®
92.0
Overall ScoreAdditional Requirements
Applicants should possess or expect to obtain at least an upper second class honours degree (first class honours preferred) or MSc (or equivalent) in Mechanical Engineering, Electrical Engineering, Control Engineering, Aerospace, or Computer Science. A strong mathematical background and experience with MATLAB/Simulink, C++, real-time systems, and programming are highly desirable. Candidates must demonstrate research aptitude and relevant technical skills aligned with the project's focus.
Course Fees
₹23,48,605/Year
Annual Fee
3 years
Total Duration
Living Costs
No Living costs available.
University Scholarships
British Chevening Scholarships
N/A
Amount
Various benefits
Deadline
Not Available
Commonwealth Scholarships
N/A
Amount
Various benefits
Deadline
Not Available
External Scholarships
Rochelle Nicolette Perry Memorial Scholarship
N/A
Amount
1250 USD
Deadline
Not specified
Organization of American States (OAS) Academic Scholarship Program
N/A
Amount
Various benefits
Deadline
Not specified
Master's Scholarship
N/A
Amount
Various benefits
Deadline
Not specified
Denise Halbach Performance Scholarship
N/A
Amount
2000 USD
Deadline
15 Apr 2025
Thomas Jefferson Prize in United States History
N/A
Amount
300 EUR
Deadline
Anytime
Eligibility Requirements
No Eligibility Requirements Available
Application Process
No Application Steps Available
News About Abroad
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