Research Fellowship-IQONIC Project EU 2020 at Brunel University

The
Brunel University London is delighted to offer Research Fellows to work on
IQONIC Project EU 2020 within the Department of Electronic & Computer Engineering.
Theme: Micro-Nano Manufacturing.

The
purpose is to develop highly flexible and adaptive manufacturing platforms for
producing optoelectronics technologies.

Brunel
University London will strengthen their position as a leading multidisciplinary
research-intensive technology university delivering economic, social and
cultural benefit. Excellence, innovation and an entrepreneurial spirit will be
at the heart of everything we do.

Scholarship Description

Applications
Deadline: September 28, 2018
Course
Level: Position is available to pursue
Research.
Study
Subject: Position is awarded within the
Department of Electronic & Computer Engineering. Theme: Micro-Nano
Manufacturing.

Applications
are invited for Research Assistantships with specialisation in one of the
following areas:

Robotics
& Automation;
Control
Engineering;
Mechatronics
Electrical
and Electronics Engineering
Mechanical
Engineering;
Production
and Manufacturing Engineering

Scholarship Award:
Salary (Grade): £29,515 to £39,609 per annum plus £2,166 London allowance
per annum.
Nationality:
International students are
eligible to apply for this position.
Number
of Scholarships: Numbers not
known
Scholarship can
be taken in the UK

Eligibility for the Scholarship

Eligible
Countries: International students are eligible to
apply for this position.

Entrance
Requirements: Applicants must meet the following criteria:

This
position requires strong engineering, mathematical and analytical skills
supported by evidence of previous education, activities and
responsibilities.
Technical
and engineering skills to take a concept, design methodology,
implementation, testing, validation and verification.
Strong
Communication and Writing Skills to write scientific and technical
reports.
Knowledge
of EU funding and project reporting mechanisms is advantageous
Your
educational background should be at PhD or Masters level in related areas
such as Robotics and Automations, Machine Tools, Control Engineering,
Mechanical Engineering, Mechatronics, or Electrical Electronics
Engineering. Other relevant areas will also be considered. Previous
industrial experience and/or national or international scientific awards
is important