BEMÆRK: Ansøgningsfristen er overskredet
To support our advancements in artificial intelligence (AI), machine learning and data science at The University of Southern Denmark, the Maersk Mc-Kinney Møller Institute invites candidates to apply for an Associate Professor position to help us bring AI and machine learning into more diverse specialities with a focus on data driven solutions within medical applications and renewable energy. The starting date is October 1st 2023 or as soon as possible thereafter.
Research and organizational environment
At the University of Southern Denmark (SDU), the candidate will join the research group of Applied AI & Data Science (AID) at the Maersk Mc-Kinney Møller Institute. In collaboration with several University Hospitals and industrial partners across Denmark and Europe, these research environments provide the foundation for accelerating AI in the energy and health care sector as well as representing expertise in artificial intelligence, statistical machine learning, and data science by developing methods for data-driven solutions spanning across diverse specialities.
The successful candidate will be also affiliated with the Centre for Clinical Artificial Intelligence (CAI-X), a research and innovation unit established in 2020 as a collaboration between SDU and Odense University Hospital (OUH). The mission of CAI-X is to improve quality in healthcare through intelligent use of data and technology, and to ensure implementation of artificial intelligence solutions to benefit both patients and clinical staff. The centre has established a framework that supports efficient and fruitful cooperation between clinical staff, researchers, engineers, and businesses – both nationally and internationally.
Qualifications
We would like to appoint a talented and committed colleague, holding a Ph.D. degree in Electrical and Computer Engineering, Physics, Mathematics, or related areas, who will contribute actively to the research environment in our group. We are seeking a candidate with a strong background in machine learning and in general data science with interests and background in at least one of the two broad research directions (healthcare/renewable energy). To participate in our healthcare related research, we seek a strong background and interest in the analysis of heterogeneous unstructured patient data, including biological signals, as well as images. We invite motivated candidates with a background in any one of these research directions to apply, while a background in both directions would be preferred. The successful candidate will be able to contribute to the development of a strong AI research environment at SDU. We believe in fostering a stimulating and inspiring environment, so the successful candidate will have the possibility of collaborating with researchers working with bio robotics and soft robotics, drones and autonomous systems, among others.
The successful applicant will join a dynamic research team and will be introduced to and included in teaching activities, research projects, fundraising activities, and collaborations to explore the synergy between clinical and technical researchers, healthcare professionals and industrial partners.
Responsibilities
Your primary responsibility is to utilize and leverage the broad technical and clinical research and to support the long-term vision of AID being a world-class centre in the field of applied artificial intelligence and machine learning. This follows the research strategy, which functions as the backbone in one of the first centres of its kind dedicated to working with AI across a large variety of clinical and technical areas.
Your responsibilities will be to:
- Develop, implement, and execute industrial AI-focused projects in close collaborations with our partners.
- Develop, implement and execute clinical AI-focused projects in close collaborations with clinicians at the hospital by bridging interests between the clinical practice and the technical research.
- Give technical input and support for ongoing projects and establish new collaborations.
- Contribute to teaching activities at SDU, and outreach activities targeting younger research candidates.
- Contribute to fundraising efforts that take place at AID.
For further information about the position, please contact
Head of the unit of Applied AI and Data Science (AID), Esmaeil Nadimi, esi@mmmi.sdu.dk, +45 27 78 19 29.
Conditions of employment
The appointment as Associate Professor is permanent.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary and taxation.
The assessment process
Read about the Assessment and selection process. Shortlisting may be used.
Application
The faculty expects applicants to read How to apply before applying.
The application must contain (only as pdf):
- A letter stating the interest, motivation, and qualifications for the position (max. 2 pages).
- Research plan (max. 3 pages).
- Detailed CV.
- A complete list of publications.
- Certified copy of diplomas and Ph.D. degrees in the relevant fields.
- Information on previous teaching and supervision experience, including a Teaching Portfolio.
- 5 most relevant publications in which the applicant wishes to rely on.
Attached files must be in Adobe PDF. Incomplete applications, and applications received after the deadline will neither be considered nor evaluated.
The deadline for application is August 13th 2023.
The university wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Living and working in Denmark
There are several services available for foreign applicants. International Staff Mobility at SDU provides a variety of services for new employees, guests and people who consider applying for a job at the University of Southern Denmark. Please visit this website for more information. International Community Odense at Municipality of Odense will also offer help for international employees and their families coming to Odense, helping them settle, and introducing them to social networks and activities around the city. Please visit this website for more information.
FACTS
The Maersk Mc-Kinney Moller Institute
The Maersk McKinney Moller Institute (MMMI) is part of the Faculty of Engineering at the University of Southern Denmark. MMMI is an internationally recognized research department, which has maintained a leading position in robotics for more than two decades. The team of Applied AI and Data Science is the main driver of activities within artificial intelligence and machine learning at the university of Southern Denmark. The team has close collaboration with various hospitals in Denmark, and runs projects within AI in gastroenterology, neurology, urology, cardiology, and endocrinology. Furthermore, the team has a long history of collaboration with industrial partners within green and renewable energy.
Read more about AID and the Maersk Mc-Kinney Moller Institute here.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Faaborg-Midtfyn Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Syddansk Universitet, Campusvej 55, 5230 Odense M
-Ansøgning:
Ansøgningsfrist: 13-08-2023; - ansøgningsfristen er overskredet
Ved skriftlig henvendelse: http://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?CustomerCode=syd1&PortalID=3797&VacatureID=1211540
Telefonisk: 6550 1000
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5859008
