|Salary:||£43,155 to £52,841|
|Placed On:||20th March 2023|
|Closes:||17th April 2023|
We are looking for a candidate with a strong track record in teaching and research, with a clear plan that articulates with and enhances our existing activities. The appointee will be expected to contribute to specialised teaching in Computational Fluid Dynamics, Computer-Aided Design and Renewable Energy, as well as to the delivery of highquality projects, skills instruction, and training. They will be expected to contribute to Research and Development through collaborative projects, securing appropriate funding, engaging in knowledge-exchange activities and publication of high-quality research outputs.
Your priorities will include:
Who we’re looking for:
Further details on the Institute and the role can be found in the accompanying Job Description. You are also welcomed to contact Professor Robert Keatch (email@example.com) for informal enquiries.
You must include with your application: a cover letter outlining your suitability for the role; your CV; a research plan (1- 2 pages) outlining research strategy for attracting external research funding and high-quality publications; a teaching plan (1-2 pages) outlining previous experience and teaching approach, as well as potential contributions to teaching in the School of Science and Engineering; and names and contact details of at least three references. Interviews will take place in late April or early May 2023.
The diversity of our staff and students helps to make the University of Dundee a UK university of choice for undergraduate, postgraduate and distance learning. Family friendly policies, staff networks for BME, Disabled and LGBT staff, membership of Athena Swan, the ECU Race Equality Charter and Stonewall as well a full range of disability services, create an enjoyable and inclusive place to work.
We ask you not to include in your CV or application documentation any of your sensitive personal data such as racial or ethnic origin, political opinions, religious or philosophical beliefs, health, sex life, sexual orientation, or genetic/biometric data.
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