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EURAXESS

A PhD Marie Skłodowska-Curie student

20/01/2023

Job Information

Organisation/Company
BIO3, GIGA-Research Institute, University of Liege
Department
Electrical Engineering and Computer Science
Research Field
Biological sciences
Computer science
Engineering
Medical sciences
Technology
Researcher Profile
First Stage Researcher (R1)
Country
Belgium
Application Deadline
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
38
Is the job funded through the EU Research Framework Programme?
H2020 / Marie Skłodowska-Curie Actions
Reference Number
MLFPM
Marie Curie Grant Agreement Number
813533
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

 

The Marie Curie Innovative Training Network "Machine Learning Frontiers in Precision Medicine" (MLFPM) brings together leading European research institutes in machine learning and statistical genetics, both from the private and public sector, to train 14 early stage researchers. These scientists develop and apply machine learning methods to health data. The goal is to reveal new insights into disease mechanisms and therapy outcomes, and to exploit the findings for precision medicine, which hopes to offer personalized preventive care and therapy selection for each patient.

Besides working on their project at their home institutions, the researchers participate in network-wide training events like summer schools and retreats. Moreover, they conduct secondments at other network partners.

Requirements

Research Field
Computer science
Education Level
Master Degree or equivalent
Research Field
Mathematics
Education Level
Master Degree or equivalent
Research Field
Engineering
Education Level
Master Degree or equivalent
Research Field
Medical sciences
Education Level
Master Degree or equivalent
Research Field
Biological sciences
Education Level
Master Degree or equivalent
Skills/Qualifications

Applicants with a background in Computer Science, Mathematics / Biostatistics, Bioinformatics, Engineering, Medicine, Biology or related fields are encouraged to apply. We expect that applicants hold a university degree that qualifies them for doctoral studies at their recruiting organization.

MLFPM is striving for diversity. In particular, we are committed to increase the percentage of female scientists and therefore especially encourage them to apply.

At the time of their recruitment, candidates must be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.

Moreover, candidates have to fulfill the mobility condition: they must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting partner (Belgium) for more than 12 months in the 3 years immediately before the recruitment date.

All researchers will be enrolled in PhD programs, so they need to have a university degree that qualifies for PhD studies at the organization they apply to.

Candidates with a biological or medical background, without or with little mathematical background, are also encouraged to apply. Upon recruitment, mathematical preparation plans will be organized for these candidates where needed.

Internal Application form(s) needed
Application-form_ESR6_2023_0.pdf
English
(173.32 KB - PDF)
Download

Additional Information

Benefits

Working conditions

The selected candidate will have a full-time equivalent direct contract, which will include the provisions, social security coverage and benefits expected in the MLFPM project grant agreement, and in accordance with the host institution's usual practices for PhD students and national legislation.

Selection process

All applications must be submitted to “kristel.vansteen at uliege.be” with the subject title “MLFPM 2023 application” and contain a completed application file and supporting documents. Download the application file.

The board of the network will evaluate all applications, and the top-ranked candidates will be invited for interviews.

Additional comments

To learn more about the 14 ESR projects, we refer to https://mlfpm.eu/. The successful candidate to the vacant position will work in the context of “clinical decision support for precision medicine" with Kristel Van Steen at the University of Liege, Belgium (bio3.giga.ulg.ac.be/).

 

Work Location(s)

Number of offers available
1
Company/Institute
Université de Liège
Country
Belgium
Geofield

Where to apply

E-mail
kristel.vansteen@uliege.be

Contact

City
Liege
Street
Avenue de l’Hôpital, B34