Subject Matter Expert (m/f/d) for the production of the online course: Data Base Management Tools in Python

Constructor University (formerly Jacobs University) is a private, state-accredited, English-language university in Bremen. We offer Bachelor, Master, and PhD programs in three schools: School of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and transdisciplinary cooperation. According to the 2024 Times Higher Education (THE) World University Rankings, Constructor University is among the top 25 percent out of more than 1900 universities worldwide and is ranked as the second most international university in the world. As an international university, we attract highly talented and open-minded students from all over the world. Currently, over 1,600 students from 110 nations live and study on our residential campus.

Constructor University Bremen invites interested candidates to join Constructor University’s academic community as

Subject Matter Expert (m/f/d) for the production of the online course: Data Base Management Tools in Python

(Teaching Period: Fall Semester 2025; Freelance / freiberuflicher Honorarvertrag, 5 ECTS)

Semester Start: 1.9.2025, Academic Calendar

Teaching Workload: 5 ECTS, 28 sessions of 75 minutes each

Degree level: Bachelor

Location: remote

What we expect:

• Prepare the entire asynchronous online course (Module Component) referencing the below outline of the course content and any existing course material, adhering to the contractual deadlines

• The preparation includes the materials for the final exam and makeup exam (online exams in Learning Management System), which is to be composed of 50% questions, 50% implementation tasks in Python

• Align course materials with Quality Assurance standards for online teaching as defined by Constructor University

• Meet regularly with Digital Education Unit staff to ideate and develop materials, including multimedia production

• Review and approve final build of module and assessments (by DEU staff) in the learning management system

• Show tolerance and openness suited to working in an international and diverse environment

The content you will develop comprises:

• Throughout the module, describe methodologies to collect, store, process and provision data from an application-oriented viewpoint using suitable examples based on python data science libraries

• For all course parts, hands-on material (e.g. Jupyter notebooks) is to be created

• Introduce data structures and fundamental algorithms (sorting, slicing, …); basic numerical and data analysis tasks shall use e.g. NumPy/SciPy

• Introduce relational databases and SQL to define databases, insert, store, retrieve data etc

• Explain and apply python pandas for data management and processing/analysis

• Execute basic data analysis tasks in the different tools (average, min, max, ...)

• Introduce sensible examples showing best practices for basic data visualization scenarios using different types of 2D plots in Matplotlib and seaborn

Your qualifications:

• Master´s degree, preferably a Ph.D., related to the field of teaching.

• First experience in teaching with the respective subject field.

• Fluent in written and verbal English, the language of instruction and communication on campus.
   

What you can expect at Constructor University:

Constructor University is dedicated to equal opportunity employment and invites applications from individuals of all backgrounds, irrespective of gender identity, gender expression, age, physical characteristics, disability, nationality, ethnic and cultural backgrounds, social and political affiliations, religion, family status, pregnancy, or sexual orientation. We are committed to ensuring fair treatment for all applicants and preventing any form of discrimination. Constructor University actively encourages applications from women and minority groups. Particularly, we invite candidates with extensive international experience to apply, aiming to further enrich the diversity of our university.   

• Working on a modern, green campus with recreation areas

• Easy accessibility by public transport and plenty of parking on the premises.

• Various health and sports offer.

• Qualified feedback from the teaching evaluations.

• Reimbursed