Lecturer / Senior Lecturer / Reader in Statistics and Data Analytics (LTS Track)
Job Purpose
To contribute to the delivery of an excellent student experience by contributing to teaching, assessment and administration processes associated with undergraduate and postgraduate programmes and to undertake scholarship to enhance learning and teaching within Statistics and Data Analytics in the School of Mathematics and Statistics.
At Grade 8/9/Reader, to make a substantial and positive contribution to the Subject/School's programmes, scholarship and an excellent student experience, through leading and contributing to teaching, assessment, and providing academic leadership and management associated with undergraduate and postgraduate programmes, and engaging in rigorous enquiries into learning and teaching practices. To actively engage in relationships with external stakeholders that advance knowledge exchange, public understanding and outreach.
Main Duties and Responsibilities
1. Deliver a range of teaching, supervision and assessment activities across undergraduate and postgraduate programmes within the Subject and School.
2. Carry out course administration within required timescales ensuring effective communication of information, in particular assessment requirements and criteria and timely and constructive feedback on assessment.
3. Contribute to the on-going development and design of the curriculum in a manner that supports a research-led and scholarly approach to student learning and assessment in the discipline and/or profession.
4. Make effective use of learning technologies to support and enhance course delivery, course organisation, feedback and assessment. This may involve blended and/or online provision.
5. Ensure an inclusive and evidence-based approach to facilitating learning in a range of face to face and potentially online delivery formats such as tutorials, lectures, problem- based learning, that promotes student participation and learning outcome attainment.
6. Engage in scholarship by undertaking methodologically rigorous, educationally relevant, enquiries into student learning and disseminate evidence to enhance your own, and potentially others', teaching practices. Attend and participate in appropriate seminars and conferences to support research-led teaching, scholarship and/or professional practice in your disciplinary area.
7. Develop effective working relationships with students and, in partnership with relevant student services teams, respond appropriately to the diverse range of learning approaches and learner needs.
8. Develop relationships with external stakeholders in support of knowledge exchange, public understanding and appropriate forms of outreach such as widening access.
Knowledge, Qualifications, Skills and Experience
Knowledge/Qualifications
Essential:
A1 Scottish Credit and Qualification Framework level 12 (PhD) or equivalent industrial experience in a related discipline and/or teaching experience.
For appointment at Grade 8:
A2 A growing reputation for scholarship within the subject area.
For appointment at Grade 9:
A3 An extensive and established reputation in scholarship, and significant teaching experience within the discipline/subject area.
Desirable:
B1 Membership of relevant professional body, where appropriate.
Skills
Essential:
C1 Sufficient breadth and/or depth of knowledge in Statistics and Data Analytics and of teaching methods and techniques to work within the subject area.
C2 Ability to communicate material of a specialist or highly technical nature and to be effective both orally and in writing at a level appropriate to the activity.
C3 Thorough knowledge and ability to apply policy, practice and procedures including broader University/sector/external e.g. commercial awareness.
C4 Up-to-date knowledge and specialist understanding in Statistics and Data Analytics with an ability to engage the interest and enthusiasm of students to inspire learning and to provide pastoral care to students within the subject area.
For appointment at Grade 8:
C5 Track record of scholarship and development and delivery of teaching, and proven ability to develop and devise teaching programmes, techniques and methods.
C6 Extensive breadth and depth of knowledge in Statistics and Data Analytics to develop teaching programmes/methodologies/learning support.
C7 Proven ability to design, review and enhance multiple learning, teaching and assessment programmes.
C8 Ability to communicate complex or conceptual ideas to those with limited knowledge and understanding, and developing early career academic colleagues.
C9 Continuing engagement with current practice and developing knowledge.
C10 Ability to contribute to broader leadership and management activities along with an awareness of current and future priorities of the University/College/School/Service.
Desirable:
D1 Expertise in state-of-the art Data Analytics, such as Python, TensorFlow or Machine Learning.
For appointment at Grade 8:
D2 Expertise in state-of-the art Data Analytics, such as Python, TensorFlow or Machine Learning.
Experience
Essential:
E1 Experience of planning and progressing work activities within professional guidelines or organisational policy, applying initiative and independent judgement.
For appointment at Grade 8:
E2 Experience and achievement in Statistics and Data Analytics reflected in an expanding personal academic portfolio.
E3 Experience of developing and demonstrating teaching and research methods and devising models, approaches, techniques, critiques and methods.
For appointment at Grade 9/Reader:
E4 Evidence the above criteria to a higher degree, particularly in the scholarship of learning and teaching, knowledge creation and transfer to benefit external parties and disciplinary research where the research demonstrably influences pedagogy and assessment design.
For appointment at Reader:
E5 Excel significantly in the scholarship of learning and teaching, knowledge creation and transfer to benefit external parties and disciplinary research where the research demonstrably influences pedagogy and assessment design.
Terms and Conditions
Salary will be Grade 7/8/9, £39,347-£44,263 / £48,350-£56,021 / £57,696-£64,914 per annum.
This post is full time (35 hours per week) and is open ended.
As part of Team UofG you will be a member of a world changing, inclusive community, which values ambition, excellence, integrity and curiosity.
As a valued member of our team, you can expect:
1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared.
2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https: // www. gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages.
3 A flexible approach to working.
4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University https: // www. gla.ac.uk/myglasgow/staff/healthwellbeing/.
We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https: // www. gla.ac.uk/myglasgow/humanresources/equalitydiversity/.
We endorse the principles of Athena Swan https: // www. gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University.
We are investing in our organisation, and we will invest in you too. Please visit our website https: // www. gla.ac.uk/explore/jobs/ for more information.
Vacancy reference: 152190
Closing date: 11th September 2024
Vacancy Ref : 152190 Close Date : 11-Sep-2024 23:45