School of Science, Engineering and Environment PhD - Robotics and Systems Engineering دراسة University of Salford في

PhD - Robotics and Systems Engineering

بريطانيا

4

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Take your academic studies into the research field with the Salford Innovation Research centre. Home to the National Advanced Robotics Research Centre since 1987, we lead internationally recognised research excellence in Robotics & Artificial Intelligence. Current research opportunities are available in robotics, mechatronics, automation and control, embedded systems, artificial intelligence, and machine learning. The food industry is very labour intensive and as a result is under threat from low wage economies. To allow companies to remain competitive they need to embrace automation.

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School of Science, Engineering and Environment

خيارات الدراسة

دوام كامل (3 أعوام )

رسوم التسجيــل
£19,240.00 (US$ 24,847) سنوياً
هذه رسوم مؤقتة قيد القبول
تاريخ البدء

يناير 2028

مكان عقــد الدورة

University of Salford - Peel Park Campus

University of Salford, 43 Crescent,

Salford,

Greater Manchester,

M5 4WT, Northern England, United Kingdom

دوام كامل (3 أعوام )

رسوم التسجيــل
£19,240.00 (US$ 24,847) سنوياً
هذه رسوم ثابتة
تاريخ البدء

مايو 2027

مكان عقــد الدورة

University of Salford - Peel Park Campus

University of Salford, 43 Crescent,

Salford,

Greater Manchester,

M5 4WT, Northern England, United Kingdom

شروط القبول

للطلاب الدوليين

A minimum of a 2:1 Honours degree or equivalent in a numerate subject such as Engineering, Science, Mathematics or Computer Science. You should be able to demonstrate the use of structured programming language such as C. You should have a first degree that provides a foundation in the areas of computer science or engineering. Candidates with a Bachelors and a Masters degree in one of the following areas will be preferred: robotics, mechatronics, automation and control, embedded systems, artificial intelligence, and machine learning. Experience of experimental research involving statistical analyses of experimental results on the basis of measuring system performance is preferable but is not essential.

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