Jobs at Aston | Engineering & Applied Science

Professional Engineering Administrator (R130142)

Thu, 16 May 2013 00:00:00 GMT

Category: Administrative & Secretarial | Group: Engineering & Applied Science | Closing Date: 06 Jun 2013 | We are seeking to appoint a Professional Engineering Administrator to provide administrative support specifically to Work Based Learning Programmes. You will play a key role in supporting academic staff and students following engineering programmes such as Electrical Power Engineering, Logistics and Professional Engineering. You should be educated to A Level or equivalent standard with strong IT skills. Excellent administrative and organisational skills gained through all-round office experience are required. You will be required to communicate extensively not only internally but also externally with partners such as national employers and colleges and some travel may be required.

Research Fellow (R130131)

Wed, 08 May 2013 00:00:00 GMT

Category: Teaching & Research | Group: Engineering & Applied Science | Closing Date: 07 Jun 2013 | We are looking for a highly motivated individual for this postdoctoral research position in the general areas of statistical physics and Bayesian inference. The emphasis of this research will be on employing theoretical and numerical methods from Bayesian statistics and statistical physics to study properties of equilibrium-like domains within non-equilibrium systems. The aim of the project is to better understand the formation of equilibrium-like domains in non-equilibrium systems, their emergence and control. The project will include both analysis of simple systems and the study of natural and technological systems using real data. You should have excellent mathematical and computational skills and have a background in statistical physics and Bayesian inference. Further details on the research project can be found on: http://www.aston.ac.uk/ncrg Informal enquires should be directed to Professor David Saad, email: d.saad@aston.ac.uk

Lecturers in Mathematics (2 Posts) (R130133)

Wed, 08 May 2013 00:00:00 GMT

Category: Teaching & Research | Group: Engineering & Applied Science | Closing Date: 14 Jun 2013 | Aston University School of Engineering and Applied Science (SEAS) is consistently ranked as one of the top Universities in the UK for engineering-related disciplines. Our research strengths are concentrated in selected areas, are often multidisciplinary in nature and are designed to promote solutions to practical problems. The Mathematics Group in the School of Engineering and Applied Science is seeking to make two new appointments at the lecturer (equivalent to US Associate Professor) level. The appointments will augment our existing strengths in statistical pattern processing, machine learning, and statistical physics and dynamical modelling of complex systems (http://www.aston.ac.uk/ncrg) and would ideally be in the broad area of probabilistic approaches to non-linear signal processing and control. We are seeking strong enthusiastic applicants keen to develop their international research profiles and their own research teams. We particularly welcome female applicants as women are currently under-represented in this area. All our mathematics staff are fully integrated in delivering our mainstream mathematics programmes at undergraduate and graduate levels and the new appointees will be expected to deliver excellence in their teaching as well as developing their research profiles. New appointees will have the opportunity to supervise undergraduate and postgraduate projects, be involved with our mathematics student society activities, and also to engage externally through contributing to industrial networks, masterclasses and summer schools. Information on the teaching activities can be found at http://www1.aston.ac.uk/eas/about-eas/academic-groups/mathematics/. The starting date will be September 2013.

Lecturer in Computer Science (R130134)

Wed, 08 May 2013 00:00:00 GMT

Category: Teaching & Research | Group: Engineering & Applied Science | Closing Date: 09 Jun 2013 | Aston University School of Engineering and Applied Science (EAS) is consistently ranked as one of the top Universities in the UK for engineering related disciplines. Our research strength are concentrated in selected areas, are often multidisciplinary in nature and are designed to promote solutions to practical engineering problems. This appointment will strengthen the expanding research and teaching activities of the Computer Science Subject Group at undergraduate and postgraduate levels. We intend to appoint a Lecturer to develop further our research in Software Systems: we are particularly interested in applicants whose research is in cloud-based computing and Big Data. You will have a relevant PhD and be capable of making significant contributions to our research activities, including the attraction of external research funding. All our Computer Science staff are fully integrated in delivering our mainstream computing programmes at undergraduate and graduate levels and the new appointee will be expected to deliver excellence in their teaching as well as developing their research profiles. You will also supervise undergraduate and postgraduate projects and engage with external individuals and groups, such as contributing to summer schools and other outreach activities. The starting date will be September 2013.

Research Fellow in Fibre Raman Technologies for Coherent Communication (R130122)

Thu, 25 Apr 2013 00:00:00 GMT

Category: Teaching & Research | Group: Engineering & Applied Science | Closing Date: 01 Jun 2013 | (Unlocking the capacity of long haul and unrepeatered transmission systems) Applications are invited for a Research Fellow in Photonic Communication System Research, focused on technologies which may revolutionize the way in which optical networks are deployed worldwide. Having undergone exponential growth in capacity since its commercial introduction in 1975, the optical fibre communication network is rapidly approaching a significant capacity crunch. This threatens to destroy business models relying on negligible cost for information transmission and the projects UNLOC (EPSRC) and GRIFFON (MC IAPP) are targeted at developing new technologies to release additional capacity from the installed optical fibre. This position will develop revolutionary technologies and network architectures to enable new cost-reduced approaches to high capacity ultra-long haul optical networks and unrepeatered point to point systems. The work will build on recent world-leading advances in all optical Orthogonal Frequency Division Multiplexing, nonlinear transmission, phase sensitive and insensitive amplifiers and coherent detection to generate novel solutions to the capacity crunch. You will join an established team within the Aston Institute of Photonic Technologies, will carry out research in purpose-built photonics communications research facilities at Aston University, and will be involved in collaboration with industrial project partners operating to short timescales. Training opportunities will be provided to acquire appropriate, experimental and numerical research skills. You should have a degree (minimum 2:1) in electronic engineering, applied physics or related subject; a PhD related to optical communications and/or equivalent experience in the photonics industry and would be free to travel throughout the European Economic Area.

Professor in Logistics/Engineering Management (R130115)

Wed, 24 Apr 2013 00:00:00 GMT

Category: Managerial & Professional | Group: Engineering & Applied Science | Closing Date: 31 May 2013 | We are seeking to appoint an inspirational Professor, who will provide a positive contribution to the evolving research and teaching activities of the School of Engineering and Applied Science. You will be key in shaping and developing the future direction of the Engineering Systems and Management Group and will play an active role in the School’s senior leadership team. You should demonstrate excellence in, and both passion and enthusiasm for, research as evidenced by publications in leading international journals, postdoctoral research supervision and a portfolio of external funding.

Development of Nanofluids for Enhanced Oil Recovery - PhD Studenships (R130118)

Wed, 24 Apr 2013 00:00:00 GMT

Category: Studentship | Group: Engineering & Applied Science | Closing Date: 31 May 2013 | Applications are invited for a three year PhD studentship, supported by the School of Engineering and Applied Science, to be undertaken within the Chemical Engineering and Applied Chemistry Subject Group (http://www1.aston.ac.uk/eas/about-eas/academic-groups/ceac/research/)at Aston University. The successful applicant will join internationally renowned scientists and engineers within the Chemical Engineering and Applied Chemistry Subject Group working on different aspects of polymer science and advanced materials and processing engineering. The position is available to start before 31 July 2013. Financial Support This studentship includes a fee bursary to cover the home/EU fees rate, plus a maintenance allowance of £13,590 (subject to eligibility). Applicants from outside the EU may apply for this studentship but will need to pay the difference between the ‘Home/EU’ and the ‘Overseas’ tuition fees, currently this is £10,372. Background of the Project Enhanced oil recovery refers to the third stage of recovering oil from an oil reservoir after the primary production (driven by formation pressure) and the secondary water flooding replacement. At this stage the oil retention normally accounts for 50-60% of the original oil in place, but it is considerably more difficult to recover due to the complexity of oil flow paths in the porous reservoir rock and high temperature, high pressure and high salinity of the reservoir. This research aims to develop new types of cost-effective nanofluids to address the urgent requirement of better enhanced oil recovery technologies and the challenge of controlling properties of enhanced oil recovery fluids from oil reservoirs. To meet the requirement of both material properties and cost-effectiveness for the large scale production, carbon-based nanoparticles from renewable resources will be developed for the formulation of nanofluids. Manipulation of nanostructures and behaviour of the nanofluids will be applied to control their mass transfer in the microporous reservoir environment. Person Specification The successful applicant should have a first class or upper second class honours degree or equivalent qualification in Chemical Engineering, Petroleum Engineering, Chemistry, materials or a related discipline. Knowledge of nanotechnology (colloidal science and engineering), petroleum production, fluid low in porous material and formulation would be desirable. For informal enquiries about this opportunity within the Chemical Engineering and Applied Chemistry Subject Group, contact Dr Qingchun Yuan by email q.yuan@aston.ac.uk(tel: +44 (0)121 204 3385) The online application form, reference forms and details of entry requirements, including English language are available at http://www1.aston.ac.uk/eas/research/prospective-research-students/how-to-apply/

Lecturer in Construction (R130113)

Tue, 23 Apr 2013 00:00:00 GMT

Category: Teaching & Research | Group: Engineering & Applied Science | Closing Date: 31 May 2013 | We are seeking an enthusiastic research-led individual who will make a significant contribution to undergraduate and postgraduate teaching. Initially teaching will be in the related areas of construction technology and materials, or construction project management, whole life costing and lean construction. The ability to teach in one of the following areas would be advantageous; sustainable building, supply chain management, strategic procurement, logistics, facilities and asset management, building services. You will be expected and encouraged to develop research programmes complementary to the School’s existing work in this area, which currently include,: the use of whole life costing, building sustainability,and strategic procurement. A PhD in a related subject is essential, along with experience of publishing research outcomes. The ability to secure external research funding is also required. Relevant industrial experience would be advantageous.

2 Lecturers in Logistics and Transport (R130112)

Fri, 19 Apr 2013 00:00:00 GMT

Category: Teaching & Research | Group: Engineering & Applied Science | Closing Date: 31 May 2013 | We are seeking dynamic, enthusiastic research-led individuals who can contribute to undergraduate and postgraduate teaching. Initial teaching will be in the related areas of logistics/supply chain management, operations management, modes of transport and transport operations. The ability to teach in one of the following areas would be advantageous: passenger service provision, facilities management, marketing, multi-modal transport, intelligent transport systems, and purchasing. You will have the opportunity to develop research programmes complementary to the School’s current research areas, which include, sustainability in supply chains, resource efficient supply chains, RFID adoption by industry and for effective warehousing, public procurement, and optimizing delivery routes. A PhD in a related subject is essential, along with experience of publishing research outcomes. The ability to secure external research funding is also required. Relevant industrial experience would be advantageous.

PhD Studenship (R130091)

Fri, 22 Mar 2013 00:00:00 GMT

Category: Studentship | Group: Engineering & Applied Science | Closing Date: 01 Jul 2013 | Machine Learning in Signal Processing The Nonlinearity and Complexity Research Groupat Aston University are pleased to invite applications for a three year PhD studentship in machine learning applied to signal processing, supervised by Dr Max Little, supported by the School of Engineering and Applied Science. The successful applicant will join an established group and will work on applying the theoretical machinery of contemporary machine learning to stochastic and nonlinear time series analysis methods, where the time series arise from practical, real-world problems. The position is available to start in 2013 (subject to negotiation) Financial Support This studentship includes a fee bursary to cover the home/EU fees rate plus a maintenance allowance of £13,590. Applicants from outside the EU may apply for this studentship but will need to pay the difference between the ‘Home/EU’ and the ‘Overseas’ tuition fees, currently this is £10,372 in 2012/13. Background of the Project Proposed topics would include contemporary machine learning concepts such as sparsity, nonparametric Bayes, maximum margin discrimination, and structured output learning, with both deterministic and stochastic inference approaches, organized in directed and undirected, dynamic graphical models. Potential applications could include detecting and quantifying neurological disorders using multivariate signals, noise removal from irregular measurements of the symptoms of progressive diseases, and nanopore-based next-generation DNA sequencing. Person Specification The successful applicant should have a first class or upper second class honours degree or equivalent qualification in statistics, applied mathematics, computer science, electronic engineering or (mathematical) physics. Preferred skill requirements include knowledge/experience of programming with numerical software packages such as Matlab, R, Mathematica; a track record of academic publications would be an advantage. For informal enquiries please contact Dr Max Little by email (max.little@aston.ac.uk). The online application form, reference forms and details of entry requirements, including English language are available at http://www1.aston.ac.uk/eas/research/prospective-research-students/how-to-apply/ Quoting Reference R130091