Research Assistant or Research Fellow in Navigation for Connected and Automated Mobility

15 Jan 2024
Job Information

Organisation/Company

Cranfield University

Department

HR & Development Group

Research Field

Other

Researcher Profile

First Stage Researcher (R1)
Recognised Researcher (R2)

Country

United Kingdom

Application Deadline

28 Jan 2024 - 23:23 (Europe/London)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

37

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

School of Aerospace, Transport and Manufacturing

Advanced Vehicle Engineering Centre

Research Assistant or Research Fellow in Navigation for Connected and Automated Mobility

Fixed Term Contract for 24 Months

At Research Assistant level, full time starting salary is in the range of £28,203 to £32,039 per annum, with potential progression up to £39,586 per annum

At Research Fellow level, full time starting salary is in the range of £37,337 to £41,406 per annum, with potential progression up to £51,298 per annum

Location: Cranfield, Bedfordshire

We welcome applications from skilled researchers with a passion for driverless cars to contribute to our experimental work in this area and to enhance the delivery of our courses.

About the Role

As a Research Assistant/Fellow within the Advanced Vehicle Engineering Centre, you will contribute to the delivery of high-quality teaching at postgraduate level and support our research activities in autonomous navigation on highway. As a key aspect of this role, you will need to maintain and develop some of our tools, including our autonomous driving software stack, and the simulation environment that supports the validation of autonomous driving functions. You will be expected to supervise MSc students, and to assist with administrative tasks related to the preparation/management of projects and courses.

About You

You will have a Master’s Degree or equivalent in autonomous systems, mechatronic engineering, or closely allied topics. You will have experience in the development of software for vehicular/robotics applications, ideally on planning and modelling of vehicle trajectories, and you will be a competent team player.

You will have strong knowledge of the hardware and software architecture of autonomous driving systems, and software engineering good practice. You will have good written and graphical communication skills and have aptitudes for self-motivation and time management. You will have the ability to demonstrate our values: Ambition, Impact, Respect and Community.

To be appointed at Research Fellow level

You will have completed (or you are close to completion of) a PhD in a relevant subject. In the past two years, you will have been first-author or joint first-author on at least one publication (pending publications can be considered) in a reputable academic journal.

About Us

As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here .

The Advanced Vehicle Engineering Centre focuses primarily on the development, application, and evaluation of advanced vehicle technologies to help make vehicles more capable, lighter, greener and more efficient. Working across multiple sectors including automotive, aerospace, agriculture, defence and motorsport, we leverage our specialisms in electric & hybrid vehicle batteries, autonomous vehicles, vehicle dynamics, brake system performance, hybrid material development for vehicle light-weighting, motorsport vehicle simulation & testing, mechatronic system development and tyre dynamics, etc – all to provide a holistic technical solution to our commercial clients and a well-rounded, industry-linked education to our students.  Find out more about the Advanced Vehicle Engineering Centre here .

Our Values and Commitments

Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here .

We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme.We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families . Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here .

Working Arrangements

Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.

How to apply                                   

For an informal discussion about this opportunity, please contact Dr Marco Cecotti, Lecturer in Driving Automation, on (T): 01234 758512 or (E): [email protected]

Apply online now . Please do not hesitate to contact us for further details on E: [email protected] . Please quote reference number 4725.

Closing date for receipt of applications:   28 January 2024

www.cranfield.ac.uk

Requirements

Research Field

Other

Education Level

PhD or equivalent

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Cranfield University

Country

United Kingdom

Geofield

Where to apply

Website

https://jobs.cranfield.ac.uk/vacancy/research-assistant-fellow-in-navigation-fo…

Contact

City

Cranfield, Bedford

Website

http://www.cranfield.ac.uk/

Street

HR and Development

Postal Code

MK43 0AL

STATUS: EXPIRED