KTP Associate-Robotics Engineer 342435
 

Salary range: £34,000
FTE: 1
Term: Fixed (24 months)
Closing Date: 7 February 2021

The Department of Design, Manufacturing and Engineering Management (DMEM) in partnership with TrainFX Ltd. (www.trainfx.com) is seeking to appoint a Knowledge Transfer Partnership Associate in the area of Mobile Robotics, with a focus on the development of an autonomous and interactive station robot/rover (AI-STAR), coupled with an interactive PIS (Passenger Information System) to provide a bespoke, high-quality passenger service at stations.

TrainFX Ltd. is a UK based, specialist rail technology company, providing bespoke, turn-key and fully integrated on-train solutions. Its products include a Passenger Information System (PIS), Crew Comms, Call for Assistance, Seat Sensors, CCTV and Passenger Counting for both retrofit and new-build trains. It operates as a trusted partner for the rail industry supplying its bespoke engineering solutions and Information Technology solutions to customers (e.g. Ricardo Rail, Scotrail, Great Western Railway and Transport for Wales).

The position offers the following benefits:
• an exciting and rewarding job opportunity
• a planned programme of training courses, including a £4000 personal development budget
• mentoring from experienced industrial and academic supervisors
• the support and resources of the University of Strathclyde
• the possibility of registering study for PhD degree with the University of Strathclyde if the Associate has not obtained one.
• the potential for good career development with the company at the end of the project
• developing and proving expertise and skills in the prospering fields of robotics
• opportunity to make important and tangible contributions in a growing company

You will be employed by the University of Strathclyde, but predominantly based at the company premises in Derby, working directly with senior company staff, as well as receiving additional mentoring support from expert staff at the University of Strathclyde.

The project is part of the Knowledge Transfer Partnership (KTP) programme that aims to help businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK knowledge base. Successful Knowledge Transfer Partnership projects are funded by UK Research and Innovation through Innovate UK and are part of the government’s Industrial Strategy. To find out how KTP works and the vital role you will play if you successfully secure a KTP Associate position please visit: www.ktpws.org.uk

You will be educated to a minimum of MSc Degree level in Robotics/Mechatronic Systems with relevant industry experience in this area. You will be skilled in analysing, designing and developing robotic systems and AI algorithms within a dynamic business/academic environment, experience in the design and development of key robotic system modules and their system integration, experience of technical writing, preparation and delivery of user training, and some experience of working in industry such as railway transportation. You will be self-directed and self-motivated, with the ability to project management with guidance, as required, and you will have excellent communication skills with the ability to interact with a range of stakeholders and excellent skills with the ability to engage with others from both academia and industry.

Whilst not essential, applications are welcomed from candidates with a Master degree in other relevant disciplines such as computer science, electronic engineering with industry experience in robotics and autonomous systems.

For informal enquiries, please contact Dr Erfu Yang, Lecturer, erfu.yang@strath.ac.uk, Tel: 07738384207

Click here for full details


Faculty
Faculty of Engineering
Department/School
Design, Manufacture and Engineering Management
Staff Category
Research
Type of Employment
Fixed-term
Working Hours
Full-time
Vacancy Description
 
Salary range: £34,000
FTE: 1
Term: Fixed (24 months)
Closing Date: 7 February 2021

The Department of Design, Manufacturing and Engineering Management (DMEM) in partnership with TrainFX Ltd. (www.trainfx.com) is seeking to appoint a Knowledge Transfer Partnership Associate in the area of Mobile Robotics, with a focus on the development of an autonomous and interactive station robot/rover (AI-STAR), coupled with an interactive PIS (Passenger Information System) to provide a bespoke, high-quality passenger service at stations.

TrainFX Ltd. is a UK based, specialist rail technology company, providing bespoke, turn-key and fully integrated on-train solutions. Its products include a Passenger Information System (PIS), Crew Comms, Call for Assistance, Seat Sensors, CCTV and Passenger Counting for both retrofit and new-build trains. It operates as a trusted partner for the rail industry supplying its bespoke engineering solutions and Information Technology solutions to customers (e.g. Ricardo Rail, Scotrail, Great Western Railway and Transport for Wales).

The position offers the following benefits:
• an exciting and rewarding job opportunity
• a planned programme of training courses, including a £4000 personal development budget
• mentoring from experienced industrial and academic supervisors
• the support and resources of the University of Strathclyde
• the possibility of registering study for PhD degree with the University of Strathclyde if the Associate has not obtained one.
• the potential for good career development with the company at the end of the project
• developing and proving expertise and skills in the prospering fields of robotics
• opportunity to make important and tangible contributions in a growing company

You will be employed by the University of Strathclyde, but predominantly based at the company premises in Derby, working directly with senior company staff, as well as receiving additional mentoring support from expert staff at the University of Strathclyde.

The project is part of the Knowledge Transfer Partnership (KTP) programme that aims to help businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK knowledge base. Successful Knowledge Transfer Partnership projects are funded by UK Research and Innovation through Innovate UK and are part of the government’s Industrial Strategy. To find out how KTP works and the vital role you will play if you successfully secure a KTP Associate position please visit: www.ktpws.org.uk

You will be educated to a minimum of MSc Degree level in Robotics/Mechatronic Systems with relevant industry experience in this area. You will be skilled in analysing, designing and developing robotic systems and AI algorithms within a dynamic business/academic environment, experience in the design and development of key robotic system modules and their system integration, experience of technical writing, preparation and delivery of user training, and some experience of working in industry such as railway transportation. You will be self-directed and self-motivated, with the ability to project management with guidance, as required, and you will have excellent communication skills with the ability to interact with a range of stakeholders and excellent skills with the ability to engage with others from both academia and industry.

Whilst not essential, applications are welcomed from candidates with a Master degree in other relevant disciplines such as computer science, electronic engineering with industry experience in robotics and autonomous systems.

For informal enquiries, please contact Dr Erfu Yang, Lecturer, erfu.yang@strath.ac.uk, Tel: 07738384207

Click here for full details