Postdoc Position in Deep Learning for Proteomics - REANNOUNCEMENT
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Odense M
The Department of Biochemistry and Molecular Biology and the Department of Mathematics and Computer Science at the University of Southern Denmark (Associate Professor Veit Schwämmle and Associate Professor Richard Röttger) invite applications for a postdoctoral fellowship within the field of bioinformatics to be filled as soon as possible, earliest by 1 October 2021, for a period of one year, extendible for another year. Application deadline: 10 September 2021.
The research project entails the implementation and optimization of deep learning models for enhanced characterization of biomolecules like peptides, proteins and metabolites from data acquired in hundreds of public and in-house liquid-chromatography mass spectrometry experiments. The candidate will use high-end deep learning methods to fully utilize the information contained in the output from these LC-MS experiments using our new MS2AI platform for data extraction, with the aim to vastly reduce both instrument time and expenses.
Research environment
The Protein Research Group offers a strong international research environment in protein chemistry, biomolecular mass spectrometry and computational proteomics. Our computational proteomics efforts include the implementation of fully automated, reproducible state-of-the-art workflows as well as the development of novel tools for statistical analysis and quantitative functional proteomics.
The Computational Biology Group offers a wide expertise in machine learning of biomedical data, from application of modern techniques to the development of novel algorithms for the analysis of complex data. The group also has expertise in the development of modern deep learning approaches for image analysis and genome analysis. Additionally, the successful applicant will have direct access to state-of-the-art computer facilities optimized for deep learning.
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 machine learning (in particular deep learning) and bioinformatics. Expertise in handling and understanding protein mass spectrometry data is an advantage, but not a requirement. The successful candidate will participate in independent research projects and assist in the supervision of undergraduate students as well learn new things about deep learning.
Place of work:
Protein Research Group (Associate Professor Veit Schwämmle, [email protected]), Department of Biochemistry and Molecular Biology and Computational Biology Group (Associate Professor Richard Röttger, [email protected]).
Department of Biochemistry and Molecular Biology and Department of Mathematics and Computer Science are both located at the main campus of the University of Southern Denmark, Odense, Denmark.
For further information please contact Veit Schwämmle or Richard Röttger.
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 research project entails the implementation and optimization of deep learning models for enhanced characterization of biomolecules like peptides, proteins and metabolites from data acquired in hundreds of public and in-house liquid-chromatography mass spectrometry experiments. The candidate will use high-end deep learning methods to fully utilize the information contained in the output from these LC-MS experiments using our new MS2AI platform for data extraction, with the aim to vastly reduce both instrument time and expenses.
Research environment
The Protein Research Group offers a strong international research environment in protein chemistry, biomolecular mass spectrometry and computational proteomics. Our computational proteomics efforts include the implementation of fully automated, reproducible state-of-the-art workflows as well as the development of novel tools for statistical analysis and quantitative functional proteomics.
The Computational Biology Group offers a wide expertise in machine learning of biomedical data, from application of modern techniques to the development of novel algorithms for the analysis of complex data. The group also has expertise in the development of modern deep learning approaches for image analysis and genome analysis. Additionally, the successful applicant will have direct access to state-of-the-art computer facilities optimized for deep learning.
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 machine learning (in particular deep learning) and bioinformatics. Expertise in handling and understanding protein mass spectrometry data is an advantage, but not a requirement. The successful candidate will participate in independent research projects and assist in the supervision of undergraduate students as well learn new things about deep learning.
Place of work:
Protein Research Group (Associate Professor Veit Schwämmle, [email protected]), Department of Biochemistry and Molecular Biology and Computational Biology Group (Associate Professor Richard Röttger, [email protected]).
Department of Biochemistry and Molecular Biology and Department of Mathematics and Computer Science are both located at the main campus of the University of Southern Denmark, Odense, Denmark.
For further information please contact Veit Schwämmle or Richard Röttger.
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 13.8.2021, 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
- Fredag den 10. september 2021
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