Research Assistant in Applied Statistics - DTU Compute at Danmarks Tekniske Universitet

Copenhagen, Capital, Denmark -

Full Time

Start Date

Immediate

Expiry Date

06 Oct, 26

Salary

0.0

Posted On

08 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Statistics, Machine Learning, Data Science, Scientific Computing, R, Julia, Python, Project Management, Scientific Consultancy, Probability Theory, Danish Language Proficiency, Cross-disciplinary Cooperation

Industry

Research Services

Description

The Section for Statistics and Data Analysis is looking for a Research Assistant to join the section, with the aim of strengthening the section’s work within scientific consultancy in statistics and in general data science. You - the Research Assistant - are particularly expected to do research work within applications of statistics and machine learning in the engineering sciences. Additionally, you will have the opportunity to work with affiliated private companies solving or contributing to the solution of problems. The nature of this work will be within the area that in broad terms can be described as data science. You will contribute to the research and teaching in the department, in particular within statistics, probability, and data science, where you will work with dedicated colleagues to gain insight for the benefit of society. To fulfill the position, you must possess solid knowledge of data science. Experience working with data science in a broad range of small and medium-sized enterprises (SMEs) is considered an advantage. Broad knowledge within IT infra structure and data bases is considered a plus. Responsibilities and qualifications * Provide research based scientific advice for private companies; * Participating in research within the section, primarily in the areas of applications of statistics and machine learning in the engineering sciences. * Participate in project management and funding acquisition; * Facilitate ad-hoc tasks within the section’s responsibilities in teaching and research; * Contribute to teaching across all our foundational courses in statistics and probability theory. * Take part in publication of research results. You should have the following qualifications: * An education as MSc Eng or statistician; * Familiarity with applied statistics; * Have the proven ability to cooperate in cross-disciplinary environments; * Knowledge of circumstances under which university scientific advice is given to private companies; * A background within scientific computing, using tools such as R, Julia or Python; * Knowledge of using data science in relation engineering sciences. * Be able to communicate efficiently in Danish at the level of a native speaker; * Be able to work independently and take initiatives within research. * Possess communication skills to scientific and non-scientific recipients. As a formal qualification, you must have a master’s degree in engineering or equivalent. 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 with the Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 1 year. Preferred starting date is 1 October 2026 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here [http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths]. Further information Further information may be obtained from Head of Data Insight Team Camilla Thyregod camt@dtu.dk [camt@dtu.dk] or Head of Section Bo Friis Nielsen bfni@dtu.dk [bfni@dtu.dk]. You can read more about DTU Compute at www.compute.dtu.dk [http://www.compute.dtu.dk]. If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark [https://www.dtu.dk/english/about/job-and-career/moving-to-denmark]. Application procedure Your complete online application must be submitted no later than 22 July 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 * Academic Diplomas (MSc) 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 Applied Mathematics and Computer Science – is an internationally recognised 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 democratisation 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

Provide research-based scientific advice to private companies and conduct research in statistics and machine learning within engineering sciences. Contribute to the department's teaching in statistics and probability theory while publishing research results.