Lecturer - Maternity Cover

University-of-Liverpool; Liverpool; On-site; GBP 38,000 - 50,000; Full time

Job summary

University of Liverpool invites applications for a Teaching and Scholarship Lecturer in the School of Biosciences. The post focuses on delivering biosciences teaching and student support, with potential involvement in zoology, biology and bioveterinary sciences modules, practicals and statistics workshops.

Candidates should hold or be close to completing a PhD in zoology, ecology or bioveterinary sciences and have expertise in animal behaviour, plus experience in data analysis/visualization

Qualifications

• PhD in zoology, ecology or bioveterinary sciences.
• Experience with data analysis and visualization using R.
• Teaching experience in higher education preferred.

Responsibilities

• Teach biosciences modules, practicals and statistics workshops.
• Support students and supervise final year undergraduate projects.
• Contribute to teaching on zoology, biology and/or bioveterinary sciences.

Skills

Data analysis

R programming

Behavioural analysis

Student support

Education

PhD in zoology/ecology/bioveterinary sciences

Tools

R

Job description

Tenure: Fixed term, to cover a period of maternity leave, expected to be from January 2027 to January 2028

We seek to appoint a teaching-focused academic as Teaching and Scholarship Lecturer in the School of Biosciences at the University of Liverpool.

The major focus of this role is contribution to Biosciences teaching and student support.

We welcome applicants with expertise that can support teaching on our zoology, biological sciences and/or bioveterinary sciences modules, practicals, and statistics workshops and who can contribute to student support and the supervision of final year undergraduate research projects.

You should hold or be close to completing award of a PhD in an area related to zoology, ecology or bioveterinary sciences and you should have expertise in the area of animal behaviour. You should also have experience of analysis and visualisation of data using R, behavioural analysis and sampling techniques.

Teaching experience in higher education is strongly preferred.

Our commitment to Equality, Diversity and Inclusion

We are committed to enhancing a workforce as diverse as our community and particularly encourage applicants who are of minoritised genders and ethnic backgrounds, living with a disability, and/or are members of the LGBTQIA+ community.