Postdoc Position in Computational Proteomics and Artificial Intelligence, in the Department of Biochemistry and Molecular Biology and the Department of Mathematics and Computer Science at the University of Southern Denmark
Deadline to Apply
June 16, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Computational Proteomics|
– Artificial Intelligence
|Salary||According to standard norms|
|Workplace||Department of Biochemistry and Molecular Biology|
Department of Mathematics and Computer Science
University of Southern Denmark
|Contract Period||1 Year (extendible for another year)|
|Starting date||July 01, 2021|
- 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.
Responsibilities/ Job Description
The research project entails the implementation and optimization of deep learning models for enhanced identification 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, with the aim to vastly reduce both instrument time and expenses.
How to Apply?
- 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.
The application must include the following:
• A letter of motivation, including details on qualifications within subject area (max. one page).
• A curriculum vitae including information on previous employment, list of programming skills mastered by the applicant, and teaching and supervision experience.
• A full list of publications stating the scientific publications on which the applicant wishes to rely.
• A certified copy of your PhD degree certificate.
• At least one letter of recommendation from supervisors or previous employers. Should your referees wish to send their letters directly to us, please have them use e-mail: firstname.lastname@example.org mentioning your name and the title of the position in the subject line. And please note that these also need to reach us before deadline.
About the Department
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 deciphering PTMs and their cross-talk, and quantitative functional proteomics.
The Computational Biology Group 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 compute facilities optimized for deep learning.
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.
Protein Research Group Associate Professor Veit Schwämmle
Department of Biochemistry and Molecular Biology and Computational Biology Group
Associate Professor Richard Röttger
Post expires at 8:59am on Thursday June 17th, 2021 (GMT+9)