Associate Lecturer in Advanced Quantitative Methods (1310)

Associate Lecturer in Advanced Quantitative Methods

An opportunity for someone with advanced statistical expertise to join our specialist MSc teaching team

Salary range
61.68 per hour
Contract type
Fixed term
Mode
Part time
Grade
7
Business Unit (dept)
Department of Psychological Sciences
Closing Date
02/09/2022
Ref No
1310
Documents

An opportunity for someone with advanced statistical expertise to join our specialist MSc teaching team

Your role will be to deliver our Advanced Quantitative Methods module to specialist MSc students in the department of Psychological Sciences. The module aims to provide students from a variety of backgrounds with practical expertise in a range of contemporary quantitative methods.

You will be required to deliver weekly lectures and oversee assessment and practical classes, with the assistance of a graduate teaching assistant and two demonstrators.

You will be provided with materials from previous years and supported in adapting those materials, within the confines of the syllabus, for your teaching. That syllabus includes: basic descriptive and inferential statistics; correlation and regression; ANOVA and related tests (ANCOVA, MANOVA); the GLM; factor analysis and/or principal components analysis; and power analysis. There is also room for additional topics such as Bayesian statistics or bootstrapping.

Previously, the module has employed SPSS as the statistical software of choice, but we are open to considering alternative user-friendly systems such as JASP.

Ideally, you will have:

  • A higher degree in Psychology or a related discipline.  
  • Relevant teaching experience, ideally working with adult students within the HE sector.
  • A good understanding of the needs of part-time adult learners and be able to relate well to their individual needs and engage their interest and enthusiasm.
  • Experience of (or willingness to develop) a wide range of teaching and assessment methods. 
  • Demonstrably effective communication, interpersonal and presentation skills across a range of relevant contexts.
  • A good working knowledge of IT including Word, Excel, SPSS (or a similar package), e-mail and experience of (or willingness to use) Moodle.    
  • An ability to work both as part of a team and independently as appropriate.
  • A willingness to engage in reflective practice.

Please note: Candidates need to demonstrate competence or significant potential in all areas.

The successful candidate will be required to teach all lectures on the module. The module also includes practical sessions which will be led by demonstrators.

Remuneration:

Payment is based on an hourly rate depending on length of continuous service with the College (starting rate £61.68 per hour inclusive of pro-rata London Allowance and holiday pay) for contact hours worked. This hourly rate is based on the starting point of Grade 7 and is inclusive of a ‘Duties Related to Teaching Multiplier’ which covers preparation, teaching, administration, assessment marking and other examining duties in connection with the course.

Enquiries:

If you would like to know more about the role please click on apply below or contact Prof. Rick Cooper, Assistant Dean of the Department of Psychological Sciences, via R.Cooper@bbk.ac.uk or 02 3926 1063.

If you have technical issues or difficulties using the recruitment portal please contact jobs@bbk.ac.uk, providing your name and the job reference number of the position.

While we are happy to respond to all informal enquiries, only formal applications through the online system will be considered.

Birkbeck offers a competitive salary and pension scheme, 31 days paid leave, flexible working arrangements and some of the most generous benefits in the HE sector, all while being located right in the heart of Central London.

We welcome applicants from all sections of the community. The College is committed to improving the gender and cultural diversity of its workforce, holding an Athena SWAN award, operating Disability Confident & Mindful Employer schemes.