Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171

Advanced VR Research Centre

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Research Asociate Post

School of Electronic, Electrical and Systems Engineering

Designing for Adaptability and Evolution in Systems of Systems Engineering (DANSE)

Required to develop and improve the underpinning technologies such as large-scale modelling/simulation and model based systems engineering, and to understand the operation and behaviour of the constituent systems of SoS, their interdependencies and to allow them to work together for a common goal and/or a global end-to-end optimisation of behaviour.

A Research Associate is required to undertake research in the following areas:
1. Develop Systems of Systems Architectural Patterns and associated research to investigate systems architectural approaches that help define SoS and in particular how to express the architecture through patterns.
2. Investigation of systems architectural approaches that help define SoS and in a number of case studies involving Integrated Water Treatment SoS, Urban Transport SoS, Air Traffic Management SoS and Emergency Response SoS.
3. Research SoS model based simulations by embodying patterns within IBM Rhapsody as a SysML model and creating executable simulations.

A good (class 1 or 2:1) degree in a computer science or systems related area, experience of using system design tools such as UML and a knowledge and understanding of systems thinking and systems engineering approaches is essential. Experience of UPDM (MODAF/DoDAF), object orientated architectures, model based systems engineering using SySML systems architecture modelling tools to create simulations is highly desirable.

Please click here for further details.

PhD Studentship

Wolfson School of Engineering - 2 PhD Research Opportunities

PhD Studentship - SFRK022017

Developing Deep Learning Intelligence for Forecasting Effects from Engineering Big Data

 

Project Detail:

The increasingly interconnected world is advancing so fast that it is overtaking our understanding on how to best architect and maintain future complex systems. In addition, the need to continue to support legacy systems until they can be phased out is a potentially weak link in terms of designing adaptability and resilience into future systems. We are only too aware of the huge cost implications when products enter service and unanticipated behaviours/faults appear. This studentship is focussed on creating a new branch of engineering where functional aspects of a system are maintained within an architecture rather than in software code that becomes obsolete in the future. The goal is to create an executable architecture that is independent on the implementation hardware but can be auto-coded for future technology. This will afford a great deal of obsolescence protection whilst facilitating reuse. This research will use the very latest systems and software engineering tools to create a seamless pipeline from system architecture development to deployable software. One of the key research goals is to develop new approaches to detecting undesirable emergent behaviour/design flaws before a product or system goes into service.

This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for any funding opportunity which may become available in the School.  

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Engineering or Computer Science related subject. A relevant Master’s degree and/or experience in these subjects would also be advantageous.

Contact details:

Name: Prof Roy S. Kalawsky

Email address: r.s.kalawsky@lboro.ac.uk

Telephone number:  01509 635678

How to apply:

All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Please quote the reference SFRK022017 on all correspondence and especially on the application form. Please ensure that you select ‘Electronic, Electrical and Systems Engineering’ under ‘Programme Name’ on the application form.  

Application details:

Reference number: SFRK022017

Supervisors:

Primary supervisor: Prof Roy S. Kalawsky

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PhD Studentship - SFRK022017

Executable Systems Architectures for Agile and Resilient Systems

 

Project Detail:

The increasingly interconnected world is advancing so fast that it is overtaking our understanding on how to best architect and maintain future complex systems. In addition, the need to continue to support legacy systems until they can be phased out is a potentially weak link in terms of designing adaptability and resilience into future systems. We are only too aware of the huge cost implications when products enter service and unanticipated behaviours/faults appear. This studentship is focussed on creating a new branch of engineering where functional aspects of a system are maintained within an architecture rather than in software code that becomes obsolete in the future. The goal is to create an executable architecture that is independent on the implementation hardware but can be auto-coded for future technology. This will afford a great deal of obsolescence protection whilst facilitating reuse. This research will use the very latest systems and software engineering tools to create a seamless pipeline from system architecture development to deployable software. One of the key research goals is to develop new approaches to detecting undesirable emergent behaviour/design flaws before a product or system goes into service.

This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for any funding opportunity which may become available in the School. 

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Engineering or Computer Science related subject. A relevant Master’s degree and/or experience in these subjects would also be advantageous.

Contact details:

Name: Prof Roy S. Kalawsky

Email address: r.s.kalawsky@lboro.ac.uk

Telephone number:  01509 635678

How to apply:

All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Please quote the reference SFRK022017 on all correspondence and especially on the application form. Please ensure that you select ‘Electronic, Electrical and Systems Engineering’ under ‘Programme Name’ on the application form.  

Application details:

Reference number: SFRK022017

Supervisors:

Primary supervisor: Prof Roy S. Kalawsky

Fully Funded Studentship - Big Data

Wolfson School of Mechanical,Electrical and Manufacturing Engineering

(e-KISS) - Eliciting Knowledge from Infrastructure Systems of Systems through Big Data Analytics

Applications are invited for two exciting (linked) PhD studentships funded by Loughborough University to start October 2016. The project will be based in the Wolfson School of Mechanical, Electrical and Manufacturing Engineering and the School of Business and Economics.

We are rapidly moving into a new era of smart cities with increasingly interconnected infrastructure (transport systems, utilities (water, gas and electricity), low impact development, bridges, telecommunications, etc. These systems of systems comprise components of interrelated systems providing commodities and services essential to enable, sustain, or enhance societal living conditions. This presents new challenges for urban planners and will require a paradigm shift in thinking and ultimately how future infrastructure systems are managed and supported. Coupled with this transformation is the exponential growth in data from sensors, measurement systems, databases and complex data-driven simulations. The shear deluge of data meets the requirements of big data in terms of its volume, velocity, and variety. However, access to this data alone is insufficient - what is really required is development of new knowledge and information management techniques to gain understanding of the complex interactions by intelligently processing the data. The goal is to create a unique knowledge base that is built upon greater understanding of the complex interactions and emergent behaviour (undesirable and desirable) that are/will be inherent in all infrastructure systems of systems Whilst data science goes some way towards the development of data processing algorithms it does not provide crucial understanding at an engineering level of the complex interactions of the infrastructure systems of systems or more importantly where unexpected/undesirable emergent behaviour occurs. Therefore, the studentships will focus on developing and integrating system architectural level representations of the infrastructure systems of systems with next generation knowledge elicitation/management techniques. The contribution of the research will be i) Novel big data visual analytics to explore emergent behaviour of infrastructure systems of systems, ii) a new framework for data and information management across national infrastructures. This exciting research will contribute towards the recently announced £138m investment in UK Collaboratorium for Research in Infrastructure & Cities (ukcric.co.uk).

Studentship 1: Big data analytics involving modelling, simulation and visualization of infrastructure systems to understand and predict complex infrastructure interactions at a systems of systems level (typical skill required/to be developed: computer scientists, systems engineering, novel big data visual analytics, visualization)

Studentship 2: Systems of systems modelling of interconnected critical infrastructures to understand the dependencies and dissonances across infrastructural sectors and to identify any data and knowledge gaps for national infrastructures (typical skill required/to be developed: knowledge/information management).

The PhD students will work across the intersection between systems modelling and knowledge/ information management to create an exploratory knowledge elicitation platform where the complex interactions between infrastructure SoS can be investigated such as risk and resilience strategies, failure mode interventions and adaptable/sustainable infrastructure architectures at the SoS level.

The studentship is for 3 years and is intended to start in [DATE]. The studentship provides a stipend per annum plus tuition fees at the UK/EU rate for up to three years. International (non EU) students may apply but will need to find the difference in fees between those for a ‘UK/EU’ and ‘international’ student themselves.

Students will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in a relevant field.  A relevant Master’s degree and/or experience in a related field will be an advantage.

Please email Prof Roy S. Kalawsky for further details