Postdoc position in clinical AI and data science
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Odense M
The Section of Applied AI and Data Science at the Maersk Mc-Kinney Moller Institute, Faculty of Engineering, University of Southern Denmark, invites applications for a vacant post-doctoral fellowship position. The position is for a period of 2 years and available from 1. January 2021 or as soon as possible thereafter.
Research environment
The candidates will be integrated in the section of Applied AI and Data Science (AID), as part of the Maersk Mc-Kinney Moller Institute, and will interact with a dynamic group of researchers working in interdisciplinary teams on developing potent solutions to societal challenges.
In AID we combine expertise in artificial intelligence, statistical machine learning, and data science to improve people's health and protect our environment. In our research, we aim to develop methods for data-driven solutions in the medical and renewable energy sectors, by striving to improve the way of handling and gaining insight from data. Thereby we create knowledge and value for our collaborators across the public health and private industrial sectors.
Job description
The successful candidate will contribute actively to the research activities of the group, by applying different artificial intelligence and data science approaches towards the improvement of medical prognostic and diagnostic accuracy, personalized treatment and clinical decision making. More specifically, the successful candidate will be working on two commenced projects on: (i) early detection of liver fibrosis, and (ii) prostate cancer, in collaboration with Odense University Hospital.
Project I: Early detection of advanced liver fibrosis
Early detection of advanced liver fibrosis is very time-consuming and costly, as there are no obvious symptoms or easy diagnostic tools that accurately reflect the outcome. Through combining personal health information (e.g. weight, height, body mass index) with blood analyses and liver function tests data, we aim to develop an intelligent algorithm with high accuracy to detect liver fibrosis at an early stage of the disease.
Project II: Prostate cancer
The purpose of this project is to use non-conventional statistical methods to detect indicators in the past medical history able to predict the emergence of metastases in prostate cancer patients. The final aim is to develop a clinical decision tool able to determine the treatment with the greatest benefit to the patient.
Profile and requirements
The candidate is expected to have scientific qualifications at PhD. Within the general field of Clinical Artificial Intelligence and Data Science in Healthcare, we seek applications from candidates with expertise in one or more of the following research areas:
Contact information
If you have any questions about this position, please contact Prof. Esmaeil S. Nadimi [email protected].
If you experience technical problems you must contact [email protected].
Conditions of employment
Employment as a postdoc requires scientific qualifications at PhD level. Employment as a postdoc is temporary and will cease without further notice at the end of the period.
Research will be predominant in the position. Teaching assignments can be agreed individually. Furthermore, other types of assignments may occur to a limited degree. The Faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time.
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 procedure
The faculty expects applicants to read How to apply before applying.
The application must be in English and must include:
The application deadline is 12. November 2020.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Further information for international applicants about entering and working in Denmark.
Further information about The Faculty of Engineering.
Research environment
The candidates will be integrated in the section of Applied AI and Data Science (AID), as part of the Maersk Mc-Kinney Moller Institute, and will interact with a dynamic group of researchers working in interdisciplinary teams on developing potent solutions to societal challenges.
In AID we combine expertise in artificial intelligence, statistical machine learning, and data science to improve people's health and protect our environment. In our research, we aim to develop methods for data-driven solutions in the medical and renewable energy sectors, by striving to improve the way of handling and gaining insight from data. Thereby we create knowledge and value for our collaborators across the public health and private industrial sectors.
Job description
The successful candidate will contribute actively to the research activities of the group, by applying different artificial intelligence and data science approaches towards the improvement of medical prognostic and diagnostic accuracy, personalized treatment and clinical decision making. More specifically, the successful candidate will be working on two commenced projects on: (i) early detection of liver fibrosis, and (ii) prostate cancer, in collaboration with Odense University Hospital.
Project I: Early detection of advanced liver fibrosis
Early detection of advanced liver fibrosis is very time-consuming and costly, as there are no obvious symptoms or easy diagnostic tools that accurately reflect the outcome. Through combining personal health information (e.g. weight, height, body mass index) with blood analyses and liver function tests data, we aim to develop an intelligent algorithm with high accuracy to detect liver fibrosis at an early stage of the disease.
Project II: Prostate cancer
The purpose of this project is to use non-conventional statistical methods to detect indicators in the past medical history able to predict the emergence of metastases in prostate cancer patients. The final aim is to develop a clinical decision tool able to determine the treatment with the greatest benefit to the patient.
Profile and requirements
The candidate is expected to have scientific qualifications at PhD. Within the general field of Clinical Artificial Intelligence and Data Science in Healthcare, we seek applications from candidates with expertise in one or more of the following research areas:
- Biostatistics
- Epidemiology
- Clinical artificial intelligence
- Big data analytics
Contact information
If you have any questions about this position, please contact Prof. Esmaeil S. Nadimi [email protected].
If you experience technical problems you must contact [email protected].
Conditions of employment
Employment as a postdoc requires scientific qualifications at PhD level. Employment as a postdoc is temporary and will cease without further notice at the end of the period.
Research will be predominant in the position. Teaching assignments can be agreed individually. Furthermore, other types of assignments may occur to a limited degree. The Faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time.
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 procedure
The faculty expects applicants to read How to apply before applying.
The application must be in English and must include:
- Motivated application.
- Detailed Curriculum Vitae.
- Certificates/Diplomas (MSc and PhD).
- List of publications indicating the publications attached.
- Examples of the most relevant publications. Please attach one pdf-file for each publication.
- Reference letters and other relevant qualifications may also be included.
The application deadline is 12. November 2020.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Further information for international applicants about entering and working in Denmark.
Further information about The Faculty of Engineering.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 1.10.2020, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Odense M
- Torsdag den 12. november 2020
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