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£40,027 - £44,474 yearly
Royal Society of Chemistry Cambridge, UK
21 Aug, 2019
Full-time Job
Job code 0200 Location Cambridge Salary £40,027 - £44,474 per annum plus benefits Position type Temporary Full-Time The Royal Society of Chemistry (RSC) seeks a Programme Manager, Science Divisions to join us on a full-time (35-hour week) temporary (maternity cover) basis. You will be based at our Science Park Cambridge office (free onsite parking and close to the guided busway and Cambridge North railway station) with UK travel.  The RSC is an internationally renowned publisher of high quality chemical science knowledge and the professional body for chemists in the UK, with a thriving international community of around 50,000 members in over 100 countries and over 550 staff. As a not-for-profit organisation, we reinvest all of our income to achieve our charitable objectives in support of the chemical sciences community and advance chemistry. We have strong links with the people teaching and practising chemistry in schools, colleges, universities and industry and are the biggest non-governmental investor in chemistry education in the UK, accrediting over 95 per cent of chemistry degrees in the UK and Ireland. We support over 300 small and medium sized companies in the chemical sciences and we are a powerful advocate for the chemical sciences at the government level influencing science, education and innovation policy. As a Programme Manager, Science Divisions at the Royal Society of Chemistry, you will play a crucial role in supporting our Science Divisions and the development of elements of our Voice strategy. You will work closely with members of our Divisions, Heads of Chemistry UK and the wider chemistry community, to develop strong relationships with scientists at a variety of levels in universities and companies and also working in partnership with external stakeholders such as funding bodies and sister societies. In this role you will also work with colleagues across the RSC, both within and beyond the directorate, to connect with elements of our Voice strategy as well as to enhance links between our networks, delivering projects and activities to further the interests of the chemical sciences in higher education and research. We are looking for:     Essential:   PhD in chemistry or related sciences (or equivalent). Passion for chemistry or related sciences research and innovation. Experience of working in a team within a scientific organisation, industry, university or in a government setting to develop and deliver successful programmes and projects. Awareness of the factors currently influencing the research and innovation environment, as well as the needs and concerns of people in the research and innovation community. Ability to communicate and influence effectively with a variety of stakeholders and audiences, using a range of written and oral communication channels and in a range of sectors. Experience of working on complex projects involving multiple stakeholders and / or able to balance and prioritise across multiple projects, tasks and deadlines.  Interest or awareness of chemistry-based technologies and an appreciation of the role of chemistry in advancing science and related technologies. Initiative and ability to develop new ideas and approaches.  Desirable:   Experience of working in a matrix environment. Network of scientific contacts within the chemistry or related sciences and broader research and innovation community or evidence of being able to develop such networks. Experience of organising meetings and events. In return, we will support your development and reward your contribution with excellent benefits . If interested, please apply before the end of our closing date. Download the full job description here . Closing date 9 September 2019
University of Limerick Limerick, Ireland
21 Aug, 2019
Full-time Study
University of Limerick is Ireland’s ‘University of the Year 2019’ in the Sunday Times Good University Guide. The University is at the economic heart of this mid-west city and the wider region, attracting brainpower and resources in equal measure. Its graduates are among the most employable in Ireland, prepared for work by practical courses. University of Limerick is also home to Ireland’s foremost industrial and applied mathematics research group, the Mathematics Applications Consortium for Science and Industry (MACSI). MACSI is regarded as one of most highly respected Mathematical and Statistical Modelling research centers in Europe. MACSI, at the University of Limerick, was recently acknowledged as an international exemplar of industrial mathematics in an independent review of knowledge exchange in the mathematical sciences by the UK’s Engineering and Physical Sciences Research Council entitled ‘The Era of Mathematics’. Overview The MSc Mathematical Modelling programme is delivered full-time over 12 months (early September to end of August) or part-time over 24 months. This course provides training in techniques of applied mathematics with emphasis on mathematical models of real world processes, their formulation in terms of differential equations, and methods of solutions, both numerical and analytical, of the models. A focus of the course is on practical problems which arise in industry, commerce, medicine, and the environmental and life sciences. There is a close alliance between the course and research problems in industrial applied mathematics, which underpins MACSI’s research. Applicants who want to pursue careers in industry are a target for this course. Graduates will develop the skills necessary to enter the modern industrial workforce. This MSc will also prepare students for potential PhD studies in fields such mathematical modelling, industrial mathematics, inverse problems, numerical analysis and statistical modelling. Our MSc in Mathematical Modelling is delivered in small classes and offers a variety of optional modules. You will complete a substantial research project, which may focus on a problem developed through MACSI’s connections with industry. Programme content The first two semesters will be examined on coursework from both a mandatory core and a suite of elective courses. The coursework will be followed by the preparation of a dissertation over the summer months under a research supervisor. The dissertation will be at research level and may focus on a problem that arises through MACSI’s connections with industry. Autumn: Advanced Methods I Scientific Computation 3 elective modules to be chosen from: Fundamentals of Continuum Mechanics Applied Analysis Mathematics of Natural Phenomena Perturbation Techniques and Asymptotics Numerical Partial Differential Equations Fundamentals of Financial Mathematics Operations Research 2 Advanced Data Analysis Stochastic Processes Statistical Inference Introduction to Fluid Mechanics Spring: Advanced Methods II Mathematical Geoscience Mathematical Biology and Physiology. 2 elective modules to be chosen from: Dynamical Systems Mathematical Modelling Stochastic Differential Equations for Finance Mathematical & Statistical Models of Investment Time Series Analysis Optimisation Advanced Data Modelling. Summer: Project* *The project should be submitted by late-August. The dissertation will be at research level, and often (though not inevitably) be on a problem which arises through MACSI’s connections with industry. Graduate profile The skills you gain from this programme are highly transferable and open up opportunities for a career in industry such as: Financial services including accounting, international banking, lending analysis and investment analysis; data analytics/data science, information and communication technologies; engineering industries (e.g. environmental, electronics, aerospace and automobile). This programme will also prepare you for a career in scientific research (e.g. medical, social, economic, engineering, computing, industrial, biological and mathematical); data analysis including market research and demographics; manufacturing (including production planning and quality control), research and development, especially in the pharmaceutical and biotechnology industries; mathematics education (teaching and lecturing). How to apply For more information, and how to apply please visit the course website .


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