Assistant professor position in Computer Science with a focus on Interdisci at SDU Career Site

Kolding, Region of Southern Denmark, Denmark -

Full Time

Start Date

Immediate

Expiry Date

12 Jul, 26

Salary

0.0

Posted On

13 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer science, Data science, Applied mathematics, Interdisciplinary research, Machine learning, Reproducible workflows, Data integration, Academic teaching, Research development, Project management, Scalable solutions

Industry

Higher Education

Description

As part of expanding the Centre for Visual Data Science and the Centre for Digital Humanities, the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a 3-year assistant professor position in Computer Science with a focus on interdisciplinary data science. The ideal candidate holds a degree in computer science, data science, applied mathematics, or a closely related field, and demonstrates a strong track record of research and development in interdisciplinary projects. We particularly welcome applicants with experience collaborating across domains such as the humanities, social sciences, biology, health, or defense. Demonstrated ability to successfully conduct research in interdisciplinary collaborations with domain experts is a fundamental requirement for employment at the Centre for Visual Data Science and the Centre for Digital Humanities. A key qualification for this position is demonstrated experience in the design, development, and maintenance of robust and scalable solutions for large, collaborative research projects. This includes the ability to integrate heterogeneous data sources, support reproducible workflows, and enable advanced analytics across disciplines. Experience in developing and deploying machine learning solutions is considered an advantage. Experience applying such solutions within digital humanities contexts is highly desirable. Who are we looking for? The ideal candidate • is a computer scientist, data scientist or an applied mathematician holding a PhD • has a strong record of research at a high international level, reflecting the academic age of the applicant • can teach and advise in data science and computer science at all levels. Fluency in English is required. Knowledge of Danish is not a requirement: more English than Danish is used when teaching in computer science, and more than half of the faculty members in computer science have international backgrounds. Our new colleague will be offered Danish courses by the university. Applications from promising early-career talents are highly encouraged. The appointment is temporary for a 3-year period. Employment as an assistant professor requires academic qualifications at a minimum of PhD level at the time of employment, with a preference for candidates with postdoc experience. During employment, the assistant professor will complete the Lecturer Training Programme. A successful candidate may be hired at our campuses in Odense, Kolding or Vejle, depending on the candidate’s profile. Deadlines and Contact Information • The proposed starting date is 1 September 2026. • For further information, please contact Professor Stefan Jänicke: stjaenicke@imada.sdu.dk [stjaenicke@imada.sdu.dk] About the department Based in Odense, the Department of Mathematics and Computer Science offers an inclusive and international working environment with state-of-the-art facilities as well as a strong tradition for collaboration across departments and faculties, and with other educational institutions, municipalities, and industries. The degrees offered by the department include bachelor, masters, and PhD in computer science, and a masters in data science. Our assistant and associate professors have very reasonable teaching loads. About the university The University of Southern Denmark was founded in 1966 and now has more than 27.000 students, almost 20% of whom are from abroad. It has more than 3,800 employees, and 115 different study programs in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense, the third largest city in Denmark. Odense provides family-friendly living conditions with the perfect combination of a historic city center with an urban feel and yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and Copenhagen. As the birthplace of Hans Christian Andersen, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year. We recommend that as an international applicant, you take the time to visit Work in Denmark [https://www.workindenmark.dk/] where you will find information and facts about moving to, working and living in Denmark, as well as the International Staff Office at SDU [https://www.sdu.dk/en/om-sdu/job-sdu/international-staff]. If you experience technical problems, please contact hcm-support@sdu.dk. Conditions of employment Appointment as an Assistant Professor is temporary and for an initial 3-year period. During employment, the assistant professor will complete the Lecturer Training Programme [https://www.sdu.dk/en/om_sdu/institutter_centre/c_unipaedagogik/universitetspaedagogikum]. Appointment to the position will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for assistant professor as described herein. Please check links for more information on salary [https://sdunet.dk/en/servicesider/hr/ansaettelsesforhold/loen/loensatser] (only available in Danish) and taxation [https://www.sdu.dk/en/om-sdu/job-sdu/international-staff]. The person employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a self-organiser. The assessment and evaluation process Shortlisting may be used in the assessment process. Please note that only shortlisted applicants will receive an assessment. Read about shortlisting at SDU [https://www.sdu.dk/-/media/files/om_sdu/ledige_stillinger/ansoegere/shortlisting_en.pdf]. Applications will be assessed by an assessment committee and the shortlisted applicants will receive the part of the evaluation that concerns them. The committee may request additional information, and if so, it is the responsibility of the applicants to provide the necessary material. Interviews and tests may be part of the overall evaluation. Application, salary etc. Appointment to the position will be in accordance with the salary agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary [https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsdunet.dk%2Fda%2Fservicesider%2Fhr%2Fansaettelsesforhold%2Floen%2Floensatser&data=05%7C02%7Csolda%40sdu.dk%7C73e6f184c99b45f260b908dc9ccafed1%7C9a97c27db83e4694b35354bdbf18ab5b%7C0%7C0%7C638557642866708877%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=Nwkg1Slh0HPKD2Y3M3iF9YNzVPhqo9zdGk7Jl9ZL8Pk%3D&reserved=0] (only available in Danish) and taxation [https://www.sdu.dk/en/om-sdu/international-staff/getting-settled]. Applications will be assessed by an expert committee. Applicants will be informed of their assessment by the university. To qualify for the position as Assistant Professor you must have obtained a PhD degree by the employment date. The application must include the following: * A curriculum vitae * Motivated application * A full list of publications * Documentation of relevant teaching experience * Copy of PhD diploma - Master’s degree and PhD degree or equivalent (copy of original + verified English translation) * Copies of all publications on which the applicant wishes to be evaluated * A brief survey of the applicant's most important research results and research plans for the next three years Shortlisting may be used in the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. Please note that applicants are expected to have completed their PhD. The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Applications must be submitted electronically using the link "Apply now". Attached files must be in Adobe PDF format. We strongly recommend that you read How to apply for a position at SDU [https://www.sdu.dk/en/om-sdu/ledige-stillinger/soegjob] before you apply. Since not all members of the appointment committee are Danish-speaking, it is recommended that your application is submitted in English. Further information [https://www.sdu.dk/iso] for international applicants about entering and working in Denmark. About SDU The University of Southern Denmark was established to create value for and with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best environments for research and learning. It is therefore crucial that SDU retains, develops and recruits talent. At the same time, we need to ensure consistently high quality in all our activities – and we can only do that with the right people. The University’s researchers, lecturers, students, managers and technical/administrative staff are the foundation of our success.

Responsibilities

The assistant professor will conduct interdisciplinary research in data science and contribute to the Centre for Visual Data Science and the Centre for Digital Humanities. Responsibilities include teaching and advising students at all levels while developing robust, scalable solutions for collaborative research projects.