Lecturer in Applied Data Science & AI

University of Leicester; Leicester; On-site; GBP 60,000 - GBP 80,000; Full time

Job summary

An established educational institution in England is seeking an academic to enhance their research in applied statistics, artificial intelligence, and machine learning. The role involves delivering research-informed teaching and contributing to the academic community through module design, quality assurance, and collaboration across various disciplines. Candidates must hold a relevant PhD and have experience in publishing high-quality research, ideally with a record of teaching at both undergraduate and master’s levels. A commitment to equity, diversity, and inclusion is essential.

Benefits

Competitive salary package

Excellent pension scheme

Generous annual leave allowance

Support for career development

Qualifications

• Hold a relevant PhD and post-doctoral research experience.
• Strong record of high-quality publications.
• Ability to teach at both undergraduate and master’s level.

Responsibilities

• Drive forward research in applied statistics and AI methodologies.
• Deliver research-informed teaching in applied statistics, data science, and machine learning.
• Contribute to assessment activities and quality assurance processes.

Skills

Applied statistics

Artificial intelligence

Machine learning

Data science

Strong interpersonal skills

Organizational skills

Education

PhD in a relevant field

Job description

An established educational institution in England is seeking an academic to enhance their research in applied statistics, artificial intelligence, and machine learning. The role involves delivering research-informed teaching and contributing to the academic community through module design, quality assurance, and collaboration across various disciplines. Candidates must hold a relevant PhD and have experience in publishing high-quality research, ideally with a record of teaching at both undergraduate and master’s levels. A commitment to equity, diversity, and inclusion is essential.