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Work For Us

Learn more about becoming a part of a dedicated and motivated team.

Our work ethos is a friendly and welcoming environment where everyone helps each other and enjoys seeing students and guests have amazing experiences.

Work at Harlaxton Manor

Harlaxton Manor

Gregory Gregory's vision for the manor was influenced by his own travels around England and Europe and his desire to merge multiple architectural styles into one.

Gregory was a bachelor with no children, and when he died the manor was passed on to an older cousin. The manor continued to be passed through the family until 1937, when it was purchased by entrepreneur and social campaigner, Violet Van der Elst. After Violet, the manor was passed on to the Society of Jesus, who eventually leased the property to Stanford University.

In 1970, Dr. Wallace Graves sub-leased the manor for the University of Evansville and it was then purchased in 1978 by Dr. William Ridgway. Dr. Ridgway officially transferred ownership of the manor to the University of Evansville in 1978 and it has been in the hands of the University ever since.

Harlaxton Manor front elevation

Current Vacancies

Harlaxton College is seeking Adjunct Lecturers to teach the following courses in the Fall semester 2024: Fall semester teaching dates: 2 Sept. – 10 Dec. 2024 • Introduction to Chemistry • Introduction to Computer Science * • Microeconomics • Introduction to Engineering * • Calculus • Introduction to Statistics *Intro to Engineering will be taught 2 Sept – 11 Oct. *Intro to Computer Sci will be taught 28 Oct. – 10 Dec. Applicants should have a minimum of a Master’s degree in an appropriate subject along with experience of teaching, preferably in a university setting. Experience of US Higher Education may be an advantage. Applicants may apply to teach one or more of these courses. A brief description outlining course contents may be found below and a full syllabus will be provided for each course. Further details of these are available from Prof. David Green ( to whom any academic queries may be directed. Please note in the unlikely event that student enrollment does not reach expected levels it may not be possible to run one or more of these courses. Course Descriptions Introduction to Chemistry This course addresses topics including atomic structure and properties; stoichiometry; chemical bonding; reactions in aqueous solutions; enthalpy; thermodynamics and reactions with gases. Introduction to Computer Science The course will introduce engineering students to computational thinking and modelling using Python programming language and Raspberry Pi 3B+ (single-board computers). Microeconomics This course involves the study of economics at the micro level to understand how and why individuals, companies, industries and countries behave/operate the way they do, and how that affects the market system. The material will help develop the ability to think analytically and objectively, as well as to be able to understand and evaluate the accuracy of the economic analysis presented by politicians and media sources every day. Introduction to Engineering The course offers an introduction to careers in engineering and computer science, and computer skill development. Students will learn skills and tools that are needed both in the academy and industry. It emphasizes teamwork skills by applying them to several design projects. Students will become familiar with engineering design and communication tools using platforms including MATLAB, Word and Excel, as well as software for website production. Calculus This course is intended for students from a wide range of academic backgrounds (majors in mathematics, physics, chemistry, economics etc.). Students will attain proficiency in solving routine problems, while problem solving skills will be sharpened by the assignment of more challenging exercises. Introduction to Statistics This course will cover the basics of statistics, probability, and their applications in Business and Economics. The main topics to be covered include descriptive statistics for univariate and bivariate data, probability and random variables, binomial and normal distributions, confidence intervals and hypothesis testing, correlation, and regression. The goal is to develop an appropriate level of statistical literacy and competency. To apply please send your CV and cover letter to:
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Harlaxton Manor,




NG32 1AG