Artificial intelligence for bio-informatics

Adrem Data Lab - University of Antwerp
Department of Computer Sciences
Belgium Antwerp
www.uantwerpen.be/en/jobs/vacancies/ap/2019bapdocproex202/

Description

The Faculty of Sciences is seeking to fill a full-time (100%) vacancy in the Department of Computer Sciences for a Doctoral Grant by the University Research Fund (BOF) in the area of artificial intelligence for bio-informatics.

The ADREM Data Lab is an internationally renowned research group known for its contributions to the theory as well as practical applications of data sciences. Within ADREM, prof. Kris Laukens leads a biodata mining research team (circa 20 people) that studies novel bio-informatics and artificial intelligence techniques to interpret complex molecular and biomedical data. The team performs both fundamental algorithmic research and applies these novel techniques to various real-life problems in a diverse array of life science domains (including immunology, oncology, etc.).

You will study AI approaches to unravel universal patterns that drive interactions between biomolecules, essential to understand living systems and diseases. By combining big protein sequence datasets with the power of advanced AI techniques you will study the fundamental building blocks of life. Taking cues from recent advances in natural language processing, you will develop deep neural network models to learn hidden patterns in molecular sequences. You will learn computational and AI skills, as well as their application in real-world biomedical settings.

Job description:

You prepare a doctoral thesis in the field of artificial intelligence for bio-informatics.
You publish scientific articles related to the research project of the assignment.
You contribute to teaching and research in data mining and bioinformatics in the Department of Computer Sciences, Faculty of Sciences.

We offer:

a doctoral scholarship for a period of two years, with the possibility of renewal for a further two-year period after positive evaluation;
the start date of the scholarship will be between October 1st 2019 and October 1st 2020;
a gross monthly grant ranging from € 2.373,36 to € 2.516,73;
a dynamic and stimulating work environment.


Qualifications

You hold a master degree in Computer Sciences (data sciences, artificial intelligence, ...), Bio-informatics or equivalent.
You can submit outstanding academic results.
Students in the final year of their degree can also apply.
Foreign candidates are encouraged to apply.
Your academic qualities comply with the requirements stipulated in the university’s policy.
You are quality-oriented, conscientious, creative and cooperative.
You have a good understanding of the theory and applications of modern data mining and artificial intelligence technology. Prior biological or bio-informatics background is not required (but useful), however you are enthusiastic to acquire the necessary life science background knowledge throughout your doctoral studies (with guidance from the team). You are a teamplayer who enjoys multi-disciplinary collaborations and you are eager to think outside the box. You have excellent (English) communication skills.


Start date

October 01, 2019

Start date

To be determined

How to Apply

Applications may only be submitted online (solliciteren.ua.ac.be/bap.aspx?vid=472896&fac=7&empl=100&type=bap&lang=en), until the closing date August 11th 2019 and should include a copy of your CV and a cover letter.
A pre-selection will be made from amongst the submitted applications. The remainder of the selection procedure is specific to the position and will be determined by the selection panel.
The interviews of the candidates, preselected by a selection panel, will take place between August 20th and September 12th 2019.
More information about the online application form can be obtained from vacatures@uantwerpen.be.
For questions about the profile and the description of duties, please contact Prof. Kris Laukens, kris.laukens@uantwerpen.be.


Contact

Prof. Kris Laukens
kris.laukens@uantwerpen.be