PhD Studentship Location: London Salary: 17.500 per annum Hours: full time Founded in 1894, City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location. City attracts around 20,000 students (over 40% at postgraduate level), from more than 150 countries and staff from over 75 countries. In the last decade City has almost tripled the proportion of its total academic staff producing world-leading or internationally excellent research. During this period City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realising its vision of being a leading global university. Background This PhD studentship is offered under the Howden/Royal Academy Research Chair in Compressor Technology in the School of Mathematics, Computer Science & Engineering. It is sponsored by Royal Academy of Engineering and Howden Compressors as a part of large project named “Smart Efficient Compression: Reliability and Energy targets (SECRET)” The PhD project, entitled “Numerical study of conjugate heat transfer in leakage flows of rotating machinery”, is focused on the design, implementation and evaluation of high fidelity numerical methodology for analysis of conjugate heat transfer in clearance gaps of rotating machinery and enable full understanding of the complex physics of these leakage flows. Responsibilities The PhD student will work closely with the world leading experts in modeling of rotating machinery under the Chair. The objective is to develop accurate, reliable and robust methods for modelling of fluid-solid interaction in rotating positive displacement machines and validate these methods with the experimental results obtained in the state-of-the-art laboratory within the Centre for Compressor Technology and the Thermo-Fluids Research Centre at City using PLIF, PIV and infrared thermography. In the second part of the project the student will utilize such methods for evaluating concepts for improving efficiency and reliability of oil-free rotating positive displacement machines. Person Specification It is expected that the candidate has a good mathematical background, excellent knowledge of thermodynamics and fluid mechanics, has a good skills in using programming languages link C#, Fortran or Python and has previous knowledge and experience in CFD. The candidate will be working closely with other participants in the project from City and Howden and is expected to have a positive attitude to team work, ability to work proactively and independently and has motivation to learn and contribute to this project. The project will fully fund 3 years of a PhD student including scholarship for international student in the amount of £18,000 p.a. and bursary in the amount of £ 17,208 p.a. Further information is available here. For further information about the post please contact [email protected] Applications, consisting of a CV and a Personal Statement, should be sent by email to [email protected] Closing date for applications: 17:00 on 10th July 2022.
Faculty of Environment, Science and Economy This full-time post is available, on a fixed term basis, from 1st September 2022 to 30th August 2024, subject to the annual funding reactivation applied to awards funded by the JDRF. This role offers the opportunity for hybrid working – some time on campus and some from home. The post We are seeking to appoint an enthusiastic Research Associate/Postdoctoral Research Assistant or Fellow to participate in the project “Clinical and Economic Optimisation Platform for Type 1 Diabetes Screening” which is funded by the JDRF, a global organisation funding type 1 diabetes (T1D) research. It is a collaborative project led by the University of Colorado, and which includes a team at the University of Exeter. The project’s overall aim is to develop a comprehensive, user-friendly, and publicly available clinical and economic T1D screening platform to inform global public health adoption and therapeutic investment decisions. Identifying people at risk of developing type 1 diabetes can help avoid life-threatening complications. Without early identification the consequences are severe, including considerable cost and health consequences for patients and families. About you GRA role: The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies. Applicants will be educated to first degree level or possess an equivalent qualification/experience in a related field of study or equivalent experience and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. PDRA/PDRF role: The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD, or nearing completion (or equivalent qualification/experience in a related field of study. The successful applicant will be a nationally recognised authority in modelling and/optimisation and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required. Applicants will be able to develop and calibrate/optimise prediction models, engineer software tools and collaborate effectively with an interdisciplinary and international team of researchers. Please ensure you read the Job Description and Person Specification for full details of this role by clicking on the attachment. For details of what we offer our staff, please visit: Benefits | Prospective Staff | University of Exeter The University of Exeter We are a member of the prestigious Russell Group of research-intensive universities and in the top 150 universities in the world (Times Higher Education World University Rankings 2022 and QS World University Ranking 2022). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2017. Our Equality, Diversity and Inclusion Commitment With over 27,000 students and 6,400 staff from 180 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. For further information please contact Prof. Jonathan Fieldsend and Prof. Richard Oram, e-mail [email protected] and [email protected] or telephone (01392) 722090 or (01392) 406819.
We are seeking to recruit part time sessional English Lecturer(s) to join our Functional Skills team, teaching Functional Skills at all levels, mainly out in the Community to part time adult students and GCSE English, predominantly at our Blossomfield Campus for 16-18 students, All courses will start in September 2022. Qualified to Degree Level in English, or a related subject, you will be passionate about your subject and possess innovative approaches to teaching and learning with experience of teaching or training. Ideally you will have a proven track record in delivering Functional Skills and 9-1 GCSE programmes and possess a Level 5 teaching qualification or be willing to work towards one. Solihull College & University Centre is committed to ensuring a safe environment for all students and expects all staff to engage fully with this commitment. Closing date: Wednesday 6th July 2022
Following substantial recent investment in the Mathematical Sciences at Lancaster University, we invite applications for a fully funded PhD studentship in Operations Research for entry in October 2022, to be supervised by Dr. Xishu Li. Research project The studentship will be to work on a project related to one of the followings: Flexible and Effective Contracting in the Gig Economy Trust and Fairness in the Sharing Economy Community-Based Sharing Models for Private Goods and Services In these projects, we answer questions such as what drives trust and fairness on each side of the sharing economy, how to maintain a sustainable labor supply in the gig economy through contracting, and how to enhance social welfare and reduce over-consumption through a community-based sharing model. Research methods could be Markov decision process, stochastic programming, game theory, behavioural experiments and simulation. However applicants are welcome to propose other projects within the research interests of the supervisor Entry Requirements Applicants are expected to have, or shortly to be awarded, a minimum of an upper-second class honours degree, or its equivalent, in Mathematics, Statistics or a related field, relevant to the research areas outlined above. Preferably applicants will hold, or be expected to achieve, a first-class honours degree in MSci or MMath Mathematics, a distinction in MSc Statistics or MSc Operational Research, or an equivalent qualification. Those who have excelled, or are excelling, at BSc level will also be considered positively. Funding eligibility These studentships cover up to four years of full payment of tuition fees at the Home (UK) level plus an annual stipend for living expenses. Regrettably non-UK applicants are not eligible for this funding. Application process All applications received before 1200 on Friday 3rd June 2022 will be considered equally. Applications received after that time will be assessed on a rolling basis. Guidelines on the application process may be found at the following URL. https://www.lancaster.ac.uk/study/postgraduate/how-to-apply/#applying-for-postgraduate-research-courses Commitment to Equality, Diversity and Inclusion We are committed to family-friendly and flexible working policies, and seek to promote a healthy work-life balance. The University is a charter member of Athena SWAN and has held a Bronze award since 2008, in recognition of good employment practice to address gender equality in higher education and research. The Department achieved its own Athena SWAN Bronze award in 2017 and is a registered supporter of the London Mathematical Society’s Good Practice Scheme. We welcome applications from people in all diversity groups. Contact Those interested are encouraged to discuss their application with Dr. Xishu Li ([email protected])