Postdoc Position in Privacy-preserving Machine Learning and Artificial Intelligence
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Odense M
The Department of Mathematics and Computer Science at the University of Southern Denmark, for the Computational Biology laboratory chaired by Associate Professor Richard Röttger, invites applications for a postdoctoral position within the field of federated machine learning and AI to be filled by 1 January 2021 or soon thereafter, initially for a period of one year, extendable up to three years. Application deadline: 2 December 2020.
The research is part of a large European effort, FeatureCloud, to establish privacy-aware federated machine learning approaches to enable the mining of distributed, sensitive data. The successful candidate will develop novel approaches for federated systems medicine and distribute the implementations of the approaches with the FeatureCloud platform. The candidate will be embedded in a highly international and powerful consortium as a member of the Computational Biology group which offers a wide expertise in machine learning of biomedical data, both in the realm of unsupervised and supervised learning. We also provide the candidate with direct access to state-of-the-art computing facilities optimized for deep learning and distributed computing.
We are seeking outstanding candidates with strong analytical and problem-solving skills, who are strong in written and oral communication (in English), and have documented experience in data science, machine learning and software development of complex systems. Expertise in the analysis of biological data is an advantage, but not a requirement. Expertise in computer security and data privacy are welcome, but not required.
Place of work:
Computational Biology Group (Associated Professor Richard Röttger, [email protected]), Department of Mathematics and Computer Science, located at the main campus of the University of Southern Denmark, Odense, Denmark.
This position is subject to the entry into force of grant agreement no 826078 by and between The European Union and The University of Southern Denmark and thereby funded by the European Union’s Horizon 2020 Research and Innovation Programme.
For further information please contact Richard Röttger, [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.
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 considering applying for a job at the University of Southern Denmark. Please take a look at the webpage from our International Staff Office (ISO) at The University of Southern Denmark.
The research is part of a large European effort, FeatureCloud, to establish privacy-aware federated machine learning approaches to enable the mining of distributed, sensitive data. The successful candidate will develop novel approaches for federated systems medicine and distribute the implementations of the approaches with the FeatureCloud platform. The candidate will be embedded in a highly international and powerful consortium as a member of the Computational Biology group which offers a wide expertise in machine learning of biomedical data, both in the realm of unsupervised and supervised learning. We also provide the candidate with direct access to state-of-the-art computing facilities optimized for deep learning and distributed computing.
We are seeking outstanding candidates with strong analytical and problem-solving skills, who are strong in written and oral communication (in English), and have documented experience in data science, machine learning and software development of complex systems. Expertise in the analysis of biological data is an advantage, but not a requirement. Expertise in computer security and data privacy are welcome, but not required.
Place of work:
Computational Biology Group (Associated Professor Richard Röttger, [email protected]), Department of Mathematics and Computer Science, located at the main campus of the University of Southern Denmark, Odense, Denmark.
This position is subject to the entry into force of grant agreement no 826078 by and between The European Union and The University of Southern Denmark and thereby funded by the European Union’s Horizon 2020 Research and Innovation Programme.
For further information please contact Richard Röttger, [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.
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 considering applying for a job at the University of Southern Denmark. Please take a look at the webpage from our International Staff Office (ISO) at The University of Southern 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 11.11.2020, 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
- Onsdag den 02. december 2020
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