Postdoc Position in Computational Proteomics and Deep Learning - 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 computational proteomics to be filled by 1 January 2021 or soon thereafter, for a period of one year, extendible for another year. Application deadline: 14 December 2020.
The research project entails the implementation and optimization of deep learning models for enhanced identification of peptides and proteins from mass spectrometry data. The selected candidate will use high-end artificial intelligence methods to fully utilize the information contained in data from tandem LC-MS experiments from proteomics experiments, with the aim to vastly reduce both instrument time and expenses.
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 reproducible proteomics workflows, statistical tools for improved data interpretation, and quantitative functional proteomics.
The Computational Biology Group offers a wide expertise in machine learning of biomedical data, both in the realm of unsupervised as well supervised learning. We also provide the candidate with 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 computational proteomics or bioinformatics. Expertise in the analysis of 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.
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 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.
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 letter of motivation including details of qualifications within the subject area (max. one page).
• 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 identification of peptides and proteins from mass spectrometry data. The selected candidate will use high-end artificial intelligence methods to fully utilize the information contained in data from tandem LC-MS experiments from proteomics experiments, with the aim to vastly reduce both instrument time and expenses.
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 reproducible proteomics workflows, statistical tools for improved data interpretation, and quantitative functional proteomics.
The Computational Biology Group offers a wide expertise in machine learning of biomedical data, both in the realm of unsupervised as well supervised learning. We also provide the candidate with 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 computational proteomics or bioinformatics. Expertise in the analysis of 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.
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 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.
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 letter of motivation including details of qualifications within the subject area (max. one page).
• 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 9.11.2020, 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
- Mandag den 14. december 2020
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