PhD student in computational drug discovery & metabolomics

Job ID:
Job date: 2014-12-19
End Date:

Company : University of Antwerp 

Country :

Role : Student 


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Job Description:

You will develop the computational foundations of a novel mass-spectrometry and NMR-spectroscopy based drug discovery and metabolome analysis platform. You will work closely with domain experts to understand the data and its particular problems. You will evaluate the applicability of your computational developments in a real laboratory setting. You will collaborate with researchers in different disciplines (from computational sciences to life sciences) within a large consortium.

Your profile:

Master in bioinformatics, (bio-)statistics, chemoinformatics or equivalent, with outstanding study results

You have a strong quantitative background, in particular in (multivariate) statistics, machine learning and data mining techniques, and you are proficient with one or more programming languages (Python, Java, C++, …) and statistical / mathematical software (R, Matlab)

Being familiar with mass spectrometry, NMR, chromatography data is a strong plus

You are fluent in interdisciplinary English communication, quality-oriented and creative, and eager to emerge in new scientific disciplines.

We offer:

A full-time doctoral student research position. The start date is open for negotiation.
An exciting research opportunity to complete a PhD in a dynamic, stimulating, multidisciplinary and multinational work environment.

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Job Information

Position Type: PhD student position

Start Date: ASAP

Duration: Full Time

Status: open

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Contact Information

University of Antwerp
Department of Mathematics and Computer Science
Prof. Dr. Kris Laukens
kris.laukens@uantwerpen.be
http://www.biomina.be/careers/computational-drug-discovery-2015

How To Apply:

Applicants are invited to send a motivation letter, detailed CV (incl. courses, grades, previous work, publications) and contact info of at least two references (including email addresses and phone numbers) to prof. dr. Kris Laukens (kris.laukens AT uantwerpen.be). Don’t hesitate to contact us in advance for more information.


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Additional Info:

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