We invite applications for a PhD position with a strong background or interest in bioinformatics, big data analytics, machine learning, applied mathematics and its application in computational proteomics. The successful candidate will become a key member of an ERC Starting Grant funded project called ORIGIN which aims to answer a fundamental question in biology: To which extent and prevalence are isoforms translated and functionally relevant.

While mass spectrometry-based proteomics is the de-facto standard for measuring proteomes, it is not good at identifying isoforms. Proteins, thus also isoforms, leave a deterministic multi-dimensional fingerprint in each proteomic measurement. The central goal is to discover and quantify protein isoforms systematically by a novel MS-based proteomics data analysis strategy that utilizes these fingerprints. Candidates therefore must have a strong interest in one or more of the following aspects:

* Tap into the wealth of data the proteomics community has already amassed to train deep neural networks that allow the prediction of fingerprints.
* Implement an innovative data analysis strategy that utilizes the predictions to identify and quantify isoforms.
* Demonstrate that the novel approach can be used to address open questions in isoform-biology of varying biological and technical complexity.

The main work duties of the PhD are in research and assisting in the supervision of bachelor and master-level scientist.