External Lecturer – 'Machine Learning' – DIS Stockholm

DIS Stockholm is hiring an enthusiastic external lecturer to teach the course “Machine Learning” in spring 2025. The external lecturer will plan and prepare the course prior to the start date of the course. The course will be offered twice per year: fall semester (mid August to mid December) and spring semester (mid January to mid May). The course includes lectures, Field Studies, one faculty-led Study Tour within Sweden, one faculty-led Study Tour in London, student evaluation, grading, and feedback.

Course Description
Machine learning utilizes training data to develop models capable of identifying patterns, classifying large amounts of information, making predictions or decisions, and providing insights embedded in vast and complex data. This course offers a hands-on approach to the theory and practice of machine learning, with real-world applications. It focuses on training datasets, machine learning approaches, and the fitting and optimization of models.

View the course description and current course syllabus here.

There are many good reasons to teach at DIS, such as excellent opportunities to:

• Work in an international, informal, and enthusiastic environment with emphasis on cross-cultural understanding, teamwork, innovation, and adaptability
• Join our faculty team of experts in a wide variety of fields
• Develop a teaching portfolio at university level
• Develop interactive experiential teaching skills and teaching experience in English
• Impact American students/upcoming professionals by sharing Scandinavian heritage and best practices
• Expand professional networks in Scandinavia and in the U.S.
• Increase your international outreach

Main tasks and responsibilities as part-time faculty

• Revise the syllabus for the course (in collaboration with DIS staff)
• Teach at DIS Stockholm. Teaching format includes classroom lectures, experiential learning activities, and Field Studies
• Assess students’ performance, grade assignments, and provide feedback to students throughout the course
• Plan academic visits and travel with students in faculty-led Study Tours. The first tour takes the classroom within Sweden (3 days outside of Stockholm) and various sites of Stockholm (2 days). The second tour (6 days) takes the classroom to London.
• Participate in meetings/workshops aimed to develop pedagogical skills in line with the DIS teaching philosophy

Professional competencies

• Relevant background (engineer/researcher/scientist, Master’s degree or Ph.D. degree) and hands-on expertise within the field of the course
• Candidate should be open to pedagogical support from DIS and capable of incorporating DIS’ interactive and hands-on teaching philosophy into teaching practice
• Experience in creating a structured and interactive learning environment is an advantage

Contact Information
Contact Computer Science and Engineering Program Director Natalia Landázuri Sáenz at [email protected].

Application Process
Please submit your CV and application letter in English as soon as possible. Applications will be processed as received.

Department: Computer Science and Engineering

Location: Melodislingan, 21, 115 31, Östermalm, Sweden