Part-time Lecturer in Statistics (Education, Remote)

Job summary

This position involves teaching applied statistical methods, with a focus on analysis of variance models that consider dependencies from random effects. The role emphasizes the interpretation and applicability of statistical results in various domains, while maintaining a strong mathematical foundation.

Qualifications

• A master’s degree in engineering, statistics, mathematics, or a related field is required.
• A PhD is preferred.
• Interest in research-based teaching is essential.
• High personal integrity is expected.
• Knowledge and expertise in the specific teaching area, gained through previous teaching or practical experience, is necessary.
• Documented teaching experience at the university level or similar is required.

Responsibilities

• Teach basic applied statistical methods, particularly focusing on analysis of variance.
• Develop and modify teaching topics and course materials based on departmental needs and personal interests.
• Collaborate with other lecturers and engage in a teaching environment linked to practical applications.

Skills

• Strong communication skills for effective teaching and interaction with students.
• Expertise in advanced models for covariance structures is desirable.

Education

• A master’s degree is mandatory; a PhD is preferable.

Tools

• Familiarity with statistical software and tools relevant to teaching statistics is beneficial.