Position:	Assistant Professor in Predictive Modelling and Scientific Computing
Institution:	University of Warwick
Department:	School of Engineering
Location:	Coventry, England, United Kingdom
Duties:	The School of Engineering is seeking to recruit a talented and enthusiastic Assistant Professor in Predictive Modelling on the traditional research and teaching pathway. We are looking for someone who can help us strengthen and broaden our research activities, while also contributing to teaching of the newly established MSc in Predictive Modelling and Scientific Computing to start in the 2023-2024 academic year
Requirements:	A PhD or equivalent doctoral level qualification in a relevant discipline
Text:	Assistant Professor in Predictive Modelling and Scientific Computing (107274-0323) Click here to go back to search results Apply Now Vacancy Type/Job category Academic Department School of Engineering Sub Department Mechanical, Materials and Process Salary ?44,414 - ?52,841 per annum Location University of Warwick, Coventry Vacancy Overview Full time, permanent position. The School of Engineering is seeking to recruit a talented and enthusiastic Assistant Professor in Predictive Modelling on the traditional research and teaching pathway. We are looking for someone who can help us strengthen and broaden our research activities, while also contributing to teaching of the newly established MSc in Predictive Modelling and Scientific Computing to start in the 2023-2024 academic year. We are open to appointments in any aspect of predictive modelling and scientific computing research consistent with the activities of the Warwick Centre for Predictive Modelling and the facilities available in the School and the University. Those with backgrounds in mathematical and statistical foundations of predictive modelling, or in in its application to physics-based uncertainty quantification (for example aligned with existing WCPM strength areas such as continuum solid or fluid mechanics, environmental sustainability, energy, materials science) are particularly encouraged to apply. The appointee will complement existing activity in the School or establish new activity, and it is expected the research will have a computational focus. Consideration will be given to alignment with existing research facilities, including those in the University?s Research Technology Platforms. You will have a PhD in a relevant discipline (e.g. physical, mathematical or engineering sciences) and must be able to demonstrate the capability to establish an independent research activity which has the ambition and potential to become internationally leading. You will initiate, develop and deliver high quality research, publish top-tier journal papers and demonstrate the potential for impact from your research. You will be appointed for a probationary period (usually five years) during which there is a reduced teaching and administration load to enable you to establish your research group. Successful completion of probation will coincide with promotion to a permanent Associate Professor position. You are also expected to have the relevant experience and skills to deliver teaching and assessment in Mechanical, Materials and Process Engineering, and you may teach on a range of taught programmes at undergraduate, specialised masters, and/or degree apprenticeship levels, with a particular focus on and responsibility for the MSc in Predictive Modelling and Scientific Computing. You are expected to engage with higher education pedagogy and be willing to develop novel teaching methods, embracing changes in teaching technology and expectations. All applicants must include: (a) a curriculum vitae which includes a full publications list; (b) an outline of no more than two pages showing their research vision and plans for grant capture over the next five years; and (c) a one-page statement demonstrating their teaching expertise and interests. Attachments other than those requested should not be provided, and applications submitted without the required documents will not be progressed. Applications from candidates in groups underrepresented in the Engineering sector are particularly welcome. The University aims to promote work life balance for all employees and the School of Engineering will consider a range of possible flexible working arrangements in order to recruit the best candidate. Job Description JOB PURPOSE To undertake research, teaching, administration and other activities in order to develop own career and profile, supporting the work of the School of Engineering and developing and enhancing its reputation, both internal and external to the University. DUTIES & RESPONSIBILITIES Research and Scholarship 1. To carry out independent research of internationally recognised standard in the broadly defined field of predictive modelling and scientific computing. 2. To contribute to the research activities of the School of Engineering by planning, developing and co-ordinating an independent research programme, sustaining an extensive track record of published research findings, and maintaining an expert reputation in a subject area at least at national, and usually international, level. 3. To lead and contribute to successful external research grant applications to support research projects. 4. To publish research in appropriate refereed journals of international standing, and to disseminate the outcomes of research and scholarship in other appropriate outlets. 5. To engage in external academic activities in accordance with the School of Engineering?s research strategy, including those which enhance the School?s national/international research profile. Such activities may include presentation of research papers at conferences, membership of committees of academic or professional bodies, external examining, participation in knowledge transfer activities, development of industrial links, development of external academic collaboration, and holding journal editorships. 6. To develop joint research activities with other members of academic staff in the School of Engineering and the wider Warwick community. Teaching and Learning Support 1. To engage diligently in teaching and assessment all levels with particular focus on the new MSc in Predictive Modelling and Scientific Computing using relevant teaching methods (including lectures, seminars, computational laboratories, and tutorials), working as a collegial member of the School of Engineering?s teaching team. 2. To develop and apply appropriate teaching techniques and materials, which may be novel or innovative, which create interest, understanding and enthusiasm amongst students. This will include contribution to regular reflection on the enhancement of School-wide curricula. 3. To supervise undergraduate and taught postgraduate student from the MSc in Predictive Modelling and Scientific Computing individual and group projects and, where appropriate, to supervise placements. 4. To supervise research students (PhD, MSc), subject to the usual Warwick University criteria, including joint supervision where appropriate. 5. To take responsibility for academic duties (e.g. setting examination questions, marking, invigilation and pastoral support of students) required to sustain the delivery of high quality teaching. 6. To co-ordinate and undertake pastoral support for students within the programmes, courses or modules, liaising where necessary with other University agencies. 7. To support and comply with the University and School of Engineering teaching quality assurance standards and procedures including the provision of such information as may be required by the School of Engineering or the University. Administration and Other Activities 1. To support the academic administration of the MSc in Predictive Modelling and Scientific Computing. 2. To contribute to School of Engineering committees and administrative duties and tasks. 3. To work within budget constraints. 4. To ensure compliance with health and safety regulations, other University regulations, and good working practices in all aspects of work. The duties and responsibilities outlined are for guidance on the main aspects of the job. The post holder will be expected to be flexible in their duties. Occasional weekend, evening and overseas working may be required, and in turn the School offers flexible working where possible. Person Specification The Person Specification focuses on the knowledge, skills, experience and qualifications required to undertake the role effectively. This is measured by (a) Application Form, (b) Test/Exercise, (c) Interview, (d) Presentation. Essential Criteria 1 Honours degree or equivalent in an appropriate subject (a) Essential Criteria 2 A PhD or equivalent doctoral level qualification in a relevant discipline. (a) Essential Criteria 3 Evidence of strong research potential and the demonstrated ability to initiate, develop and deliver internationally leading research which has led to publications in high quality peer reviewed journals (a, c, d) Essential Criteria 4 Research experience in predictive modelling and scientific computing and a compelling vision for building an independent activity in the area consistent with School and University facilities (a, c, d) Essential Criteria 5 Ability or potential to generate external funding (grants, contracts etc.) to enable and support research projects (a, c, d) Essential Criteria 6 Ability to teach the School?s undergraduate and postgraduate students in lectures, tutorials, seminars and practical classes and to use a range of delivery approaches to engage interest and enthusiasm and inspire students to learn (a, c, d) Essential Criteria 7 High level of self-motivation with the ability to meet required deadlines and to initiate, plan, organise and deliver on the role and duties (a, c) Essential Criteria 8 Willingness and ability to work with a range of partners, including through multi-institutional or multi-disciplinary projects and/or links with industry. (a, c, d) Essential Criteria 9 Ability to work collaboratively and effectively with academic and administrative colleagues, including those external to the University, to promote and contribute towards a collegial environment (a, c) Essential Criteria 10 The capacity to contribute collegiately to the life and community of the School by undertaking a variety of duties, such as supporting offer holder days and outreach activities, which will occasionally require weekend work (a, c) Essential Criteria 11 Good interpersonal skills and the ability to relate well to colleagues and students (a, c, d) Essential Criteria 12 Strong communication skills including the ability to communicate effectively in English, both verbally and in writing (a, c, d) Essential Criteria 13 Engagement in continuous professional development and the willingness to obtain relevant teaching qualifications (if not already held) (a, c) Essential Criteria 14 Understanding of equal opportunity issues as they may impact on areas of teaching and research and a commitment to promoting an inclusive academic environment (a, c) Further Particulars The School of Engineering is a multidisciplinary department which is divided into four Discipline Streams (Civil and Environmental Engineering, Electrical and Electronic Engineering, Mechanical, Materials and Process (MMP) Engineering, and Systems and Information Engineering). The successful applicant will join the MMP Stream, which is the largest in the School with c. 30 academic staff. Research groups within MMP are Chemical Engineering, Fluids, Materials, Measurement, and Sustainable Thermal Energy Technologies (STET). This post aligns strongly to the Warwick Centre for Predictive Modelling (WCPM, https://warwick.ac.uk/fac/sci/wcpm/), which is an interdisciplinary university research centre focussed on providing a framework for the application of predictive modelling and uncertainty quantification tools in science and engineering research. WCPM leads the MSc in Predictive Modelling and Scientific Computing launching in 2023/24 (https://warwick.ac.uk/pmsc). Core MSc modules will be delivered by WCPM staff from the School of Engineering and Warwick Mathematics Institute (https://warwick.ac.uk/fac/sci/maths/) with optional modules from WMG, Physics, Chemistry, Statistics, Computer Science. There are strong collaborative links with cross-departmental research centres including the EPSRC Centres for Doctoral Training in Modelling of Heterogeneous Systems (HetSys, https://warwick.ac.uk/HetSys) and Mathematics of Real-world Systems (MathSys, https://warwick.ac.uk/MathSys), as well as the Fluid Dynamics Research Centre (FDRC, https://warwick.ac.uk/fac/sci/eng/research/grouplist/fluids/fdrc/). There will be opportunities to engage with the new Centre for Applications of the Mathematical and Computing Sciences (CAMaCS, https://warwick.ac.uk/fac/sci/camacs) connecting the departments of Mathematics, Statistics and Computer Science. Warwick operates Research Technology Platforms (RTPs) which enable access to high-end facilities at cross-department level (https://warwick.ac.uk/research/rtp/) including the Scientific Computing Research Technology Platform (SCRTP, https://warwick.ac.uk/research/rtp/sc/) which manages a Linux-based desktop computing environment and provides high performance computing (HPC) facilities and access to research software engineering (RSE) expertise for researchers at Warwick. The School of Engineering has > 1,200 students on taught courses with an annual Year 1 undergraduate intake of c. 350 students. Students on our undergraduate programmes follow a common programme of study in Year 1 and the first term of Year 2. After this, most students choose to join specialised courses. Mechanical Engineering (https://warwick.ac.uk/fac/sci/eng/undergraduate/mechanical_engineering/) is usually the most popular specialism. We also run several Degree Apprenticeships. Applicants should specify how they can contribute to the new MSc course and to other teaching in their application. Informal enquiries can be made to Prof. James Kermode (Director of Warwick Centre for Predictive Modelling, J.R.Kermode@warwick.ac.uk), Dr Peter Brommer (Course Director of the MSc in Predictive Modelling and Scientific Computing, P.Brommer@warwick.ac.uk), Prof. John Murphy (Deputy Head of Department and MMP Discipline Stream Leader, john.d.murphy@warwick.ac.uk) or Prof. David Towers (Head of Department, School of Engineering, d.towers@warwick.ac.uk). For further information about the University of Warwick, please read our University Further Particulars . For further information about the department, please visit the departmental website . The School of Engineering is committed to the principles of the Athena SWAN Charter, which recognises work undertaken to address gender equality, representation and progression for all staff working in an academic environment. The School currently holds the Athena SWAN Silver award and the University holds an Institutional Silver award. Further information about the work of the School in relation to Athena SWAN can be found here . Warwick is committed to building an organisation of mutual respect and dignity, promoting a welcoming, diverse and inclusive working and learning environment. We recognise that everyone is different in a variety of visible and non-visible ways, and that those differences are to be recognised, respected, and valued. Where possible, we go beyond legislation to provide a place where everyone can thrive, supporting all staff to achieve their full potential. We aspire to remove economic, social and cultural barriers that may otherwise prevent people from succeeding. We therefore welcome and encourage applications from all communities regardless of culture, background, age, disability, sex/gender, gender identity or expression, ethnicity, religion/belief, or sexual or romantic orientation. To find out more about our social inclusion work at Warwick visit our webpages here . The University of Warwick holds an Athena SWAN Silver award; a national initiative to promote gender equality for all staff and students. Further information about the work of the University in relation to Athena SWAN can be found at the following link: Athena Swan (warwick.ac.uk) The University of Warwick is one of the six founder institutions of the EUTOPIA European University alliance , whose aim is to become by 2025 an open, multicultural, confederated operation of connected campuses. 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