Part-time Lecturer in Statistics - DTU Compute at Danmarks Tekniske Universitet

Kongens Lyngby, Capital Region of Denmark, Denmark -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Data science, Analysis of variance, Mixed-effects models, University teaching, Applied mathematics, Research-based teaching, Statistical methods, Data analysis, Engineering, Mathematical modeling

Industry

Research Services

Description

DTUs Department of Applied Mathematics and Computer Science holds, along with other areas, DTUs expertise within data science. In particular, the Section for Statistics and Data Analysis is responsible for a large part of the university teaching at DTU in statistical methods. Responsibilities and qualifications Applicants for the post of part-time lecturer must have a master’s degree, as well as additional qualifications at a high level, for example, particular areas of specialisation, expertise or practical experience achieved through employment involving practical application of the discipline. Teaching qualifications form part of the basis of the assessment. If you are a statistician, data scientist or engineer with expertise in analysis of variance, and have an interest in research based university teaching, this may be a position for you. You will be responsible for teaching of basic applied statistical methods, and in particular analysis of variance models that incorporate dependencies from random effects elements. While maintaining a strict mathematical foundation, emphasis in the teaching will be on interpretation, applicability and general domain science translation of results. You will have the opportunity to interact with highly qualified lecturers with knowledge of the research area and similar curricula. Opportunities to modify and/or further develop teaching topics and course material will be part of the position, following both interests and the progression in teaching needs of the department. You will have: * A master’s degree in engineering, statistics, mathematics or a similar field * A PhD degree is preferable * An interest for research-based teaching * I high personal integrity * Knowledge and expertise in the specific area of teaching, from previous teaching, practical experience and/or employment. Knowledge of advanced models for covariance structures, and hands-on expertise from case work, is desirable * Documented teaching experience at university level or similar You will join a section where teaching is closely linked to practical applications, and where cooperation with eg. industry put the learning objectives of the teaching into an applied perspective, that maintains the highest level of science. The environment forsters cooperation in teaching and research, which you as a skilled scientist may find quite rewarding. Assessment In the assessment of the candidates, consideration will be given to the ability to teach and communicate clearly. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement for part-time lecturers at universities and other institutions. Starting date is 1 September 2026 (according to mutual agreement). Further information Further information may be obtained from Anders Stockmarr, tel.: +45 45253332, and the home page for Section for Statistics and Data Analysis, www.compute.dtu.dk/sections/stat [https://www.compute.dtu.dk/sections/stat]. You can read more about the Department of Applied Mathematics and Computer Science at www.compute.dtu.dk [http://www.compute.dtu.dk]. Application procedure Please submit your online application no later than 5 May 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: * Application (cover letter) * CV * Diploma * Documentation of teaching experience * List of scientific and teaching-related publications or a description of your professional careers and responsibilities Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Compute DTU Compute – Department of Mathematics and Computer Science – is an internationally recognized academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We collaborate with universities, public and private organisations, and companies in Denmark and abroad, and through DTU’s startup ecosystem, we encourage innovation and entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratization of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life balance. Read more about us at www.compute.dtu.dk [http://www.compute.dtu.dk]. DTU – For the benefit of society since 1829 DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.

Responsibilities

The lecturer will be responsible for teaching basic applied statistical methods, specifically focusing on analysis of variance models with random effects. They will also have the opportunity to modify and develop teaching topics and course materials in collaboration with other faculty.