Postdoc in Computer Science
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Odense M
The Department of Mathematics and Computer Science at the University of Southern Denmark (Campus Odense) invites applications for a postdoctoral research fellowship in computer science funded by the Grand Solutions project PREPARE. The successful applicant would become part of the Data Science & Statistics research group.
The proposed starting date is 1 July 2022 or soon thereafter. The appointment will be made for an initial term of two years at an internationally competitive salary. The position can be extended pending the availability of sufficient funding, with the limitation that the total duration of a postdoctoral fellowship in Denmark cannot exceed four years. Application deadline: 15 May 2022.
The ideal candidate has a background in or experience with one or more of the following topics:
• Synthetic health data
• Generative adversarial networks
• Bayesian networks
• Machine learning method development.
The successful candidate will contribute to the development of an advanced test for assessing the risk of cardiovascular diseases by:
• Evaluating existing systems for synthetic data generation
• Developing novel systems for synthetic data generation
• Generating synthetic data sets for the PREPARE project
• Collaborating closely with clinical and data analysis experts.
The applicant is expected to hold a relevant PhD degree in Computer Science, Data Science, Computational Statistics or another field that provides a sufficient degree of background in computer science, mathematics, statistics, and/or data science. Fluency in English and Python are required. Experience working with health data and programming experience with other languages (Java, C++ etc.) are a plus.
PhD candidates about to complete will also be considered and should attach a statement from their supervisors regarding their impending completion.
For further information, please contact Professor Peter Schneider-Kamp ([email protected]).
Application, salary etc.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.
The application must include the following:
• A curriculum vitae including information on previous employment.
• A full list of publications stating the scientific publications on which the applicant wishes to rely.
Shortlisting may be used in the assessment process.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated.
To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.
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 online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
Further information for international applicants about entering and working in Denmark.
The proposed starting date is 1 July 2022 or soon thereafter. The appointment will be made for an initial term of two years at an internationally competitive salary. The position can be extended pending the availability of sufficient funding, with the limitation that the total duration of a postdoctoral fellowship in Denmark cannot exceed four years. Application deadline: 15 May 2022.
The ideal candidate has a background in or experience with one or more of the following topics:
• Synthetic health data
• Generative adversarial networks
• Bayesian networks
• Machine learning method development.
The successful candidate will contribute to the development of an advanced test for assessing the risk of cardiovascular diseases by:
• Evaluating existing systems for synthetic data generation
• Developing novel systems for synthetic data generation
• Generating synthetic data sets for the PREPARE project
• Collaborating closely with clinical and data analysis experts.
The applicant is expected to hold a relevant PhD degree in Computer Science, Data Science, Computational Statistics or another field that provides a sufficient degree of background in computer science, mathematics, statistics, and/or data science. Fluency in English and Python are required. Experience working with health data and programming experience with other languages (Java, C++ etc.) are a plus.
PhD candidates about to complete will also be considered and should attach a statement from their supervisors regarding their impending completion.
For further information, please contact Professor Peter Schneider-Kamp ([email protected]).
Application, salary etc.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.
The application must include the following:
• A curriculum vitae including information on previous employment.
• A full list of publications stating the scientific publications on which the applicant wishes to rely.
Shortlisting may be used in the assessment process.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated.
To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.
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 online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
Further information for international applicants about entering and working in Denmark.
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 12.4.2022, 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
- Søndag den 15. maj 2022
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