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16 PhD positions in trustworthy AI for quantitative neuro-MRI

2024-10-18T09:32:26Z

LVanherp: Lay-out edits

[https://www.uantwerpen.be/en/projects/iq-brain/jobopenings/]{{Job Announcement
| image=IQ-BRAIN logo.jpg
| title=16 PhD positions in trustworthy AI for quantitative neuro-MRI
| short_text=The MSCA-Doctoral Network project IQ-BRAIN is looking for 16 talented and motivated doctoral candidates eager to push the field of quantitative MRI. Doctoral Candidates (DCs) will enrol in PhD degree programmes and be employed for 36 months in a network with partners from academia, hospitals and industry.
| type=PhD Student
| location=Belgium - The Netherlands - Germany - Portugal - Norway - UK
| deadline_year=2024
| deadline_month=12
| deadline_day=1
| salary_start= 
| salary_end= 
| salary_currency= 
}}

== About IQ-BRAIN ==
IQ-BRAIN ([http://www.iq-brain.eu www.iq-brain.eu]) is an MSCA Doctoral Network that aims to bring quantitative MRI to the clinic by improving and accelerating the technique through innovative development of trustworthy physics-informed deep learning methods, with neuroimaging as a key application area. IQ-BRAIN will train the next generation of multidisciplinary top scientists in the qMRI pipeline and a wide array of research and transferable skills, who can effectively bridge the gap between method development and clinical implementation.

More information and the application form is available via the [https://www.uantwerpen.be/en/projects/iq-brain/jobopenings/ IQ-BRAIN job platform.]

== OVerview of the phd positions ==
You can consult the specific job descriptions for each PhD position [https://www.uantwerpen.be/en/projects/iq-brain/jobopenings/phdpositions/ here].
{| class="wikitable"
|+
!'''PhD position'''
|'''Host institution'''
|'''Main Supervisor'''
|-
|'''DC 1:''' Intra-scan modulation with model-guided AI for accelerated diffusion MRI
|University of Antwerp, Belgium
|Prof. Dr. Jan Sijbers
|-
|'''DC 2:''' Deep learning-augmented super resolution reconstruction for accelerated relaxometry
|Siemens Healthineers, Belgium
|Dr. Thomas Janssens
|-
|'''DC3:''' Implementation of efficient simultaneous T2 and diffusion brain mapping
|Instituto Superior Técnico, Portugal
|Prof. dr. Rita G. Nunes
|-
|'''DC 4:''' Acquisition and joint reconstruction of dynamically weighted and undersampled MR-datasets
|Bruker BioSpin, Germany
|Dr. Sascha Koehler
|-
|'''DC 5:''' Robust DL Models for Accelerated Multi-Contrast MRI Reconstruction from Nonuniform k-space Data
|Ghent University, Belgium
|Prof. dr. Aleksandra Pizurica
|-
|'''DC 6:''' qMRI reconstruction with intra-scan motion compensation, uncertainty estimation, and segmentation
|Erasmus MC, The Netherlands
|Dr. Dirk Poot
|-
|'''DC 7:''' Trustworthy AI for DL-based reconstruction of multi-parametric qMRI
|Technische Universität München, Germany
|Prof. dr. Daniel Rueckert
|-
|'''DC 8:''' Developing a Deep learning-based qMRI method for multi-TE arterial spin labelling MRI
|University of Antwerp, Belgium
|Prof. Dr. Jan Sijbers
|-
|'''DC 9:''' Unsupervised uncertainty prediction for trustworthy and unbiased qMRI
|Helmholtz Munich, Germany
|Prof. Dr. Julia Schnabel
|-
|'''DC 10:''' Develop a DL-based qMRI method for robust multi-compartment diffusion-relaxometry
|Erasmus MC, The Netherlands
|Dr. Dirk Poot
|-
|'''DC 11:''' Multiparametric MRI with quantification of the microstructural integrity and iron content in the diseased brain
|University of Antwerp, Belgium
|Prof. Dr. Marleen Verhoye
|-
|'''DC 12:''' Probing brain microstructure with multi-parametric, multi-component qMRI, AI at 3T and 7T
|Forschungszentrum Jülich, Germany
|Dr. Ana-Maria Oros-Peusquens
|-
|'''DC 13:''' Brain age estimation from multiparametric k-space data
|Amsterdam UMC, The Netherlands
|Prof. Dr. Matthan Caan
|-
|'''DC 14:''' MRI image quality enhancement for quantitative applications
|icometrix, Belgium
|Dr. Thibo Billiet
|-
|'''DC 15:''' Quantifying neurofluid pathways through AI-accelerated long T1/T2-range MRI
|Oslo University Hospital, Norway
|Prof. Dr. Kyrre Emblem
|-
|'''DC 16:''' Quantitative phenotyping via the generative modelling of quantitative MRI data
|King’s College London, United Kingdom
|Prof. Dr. Jorge Cardoso
|}

== Our offer ==

* Exciting '''multidisciplinary research''' in a collaborative network of top academic and industrial partners.
* '''State-of-the-art''' computing and imaging infrastructure to support your research.
* You will be enrolled in a '''PhD training programme''' at excellent universities.
* You will be supervised by an international and intersectoral '''doctoral supervisory committee.'''
* You will benefit from a '''training programme''' with experts in the field, with a special focus on career development via research and transferable skills.
* You will be employed by the host organisation on the MSCA-DN project for a period of '''3 years.''' Depending on the host organisation, additional funding of max. 1 year may be available to complete the doctoral degree.
* You will benefit of a regular employment contract, with a '''competitive remuneration''' based on the allowances and country correction coefficients in the MSCA Work Programme 2023, with deduction of compulsory employer’s social security contributions. The final gross salary is based on the applicable regulations of the host institution and country.
* '''Expected start date''': between April and September 2025. We encourage last-year master students who will graduate by this time to already apply.

== Eligibility criteria of the Marie-Skłodowska Curie Actions programme ==

* '''Doctoral Candidate:''' At the date of the recruitment, you are not already in possession of a doctoral degree. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will not be considered eligible.
* '''Mobility rule:''' Applicants can be of any nationality, but researchers must not have resided or carried out their main activity (work, studies, etc.) in the host country for more than 12 months in the 36 months immediately before their date of recruitment. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.

== General requirements and selection criteria ==

* You hold a '''Master’s degree''' in a relevant field (or will have obtained it by the time of your appointment).
* You are motived to '''pursue a doctoral degree''' through an individual research project.
* You can demonstrate '''strong study results.'''
* You have a '''relevant scientific background''', with potential prior related research experience.
* In view of the international context, you sufficiently master the '''English language.'''
* '''International mobility''' of researchers is a key concept within the MSCA DN framework. As such, you are willing to participate in international meetings, trainings and secondments.
* You are '''eager to tell the world''' about your novel findings with attractive posters, sparkling presentations and high-quality papers in international journals and conference proceedings.

== Application procedure ==

* You can apply for max. 3 doctoral positions.
* Applications can only be submitted via the [https://www.uantwerpen.be/en/projects/iq-brain/jobopenings/apply/ online job platform] until 1 December, 23:59. Your application must include a recent CV (including a transcript of study results), a motivation letter and contact info of two references.
* After closing of the applications, we will evaluate your application and inform you as soon as possible about the results. Pre-selected candidates will be invited to an online interview with the supervisor.
* Short-listed candidates will be invited to an online interview with the full selection committee in January/February 2025.
* The recruitment process of DCs within IQ-BRAIN will be open and transparent, with specific attention for gender balance and diversity. The recruitment will align with the principles set out in the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers.

== More information ==
For general information about the IQ-BRAIN project and the job offers, you can contact the IQ-BRAIN coordinator’s office via [mailto:Info-IQ-BRAIN@uantwerpen.be info-IQ-BRAIN@uantwerpen.be]

File:IQ-BRAIN logo.jpg

2024-10-18T09:30:03Z

LVanherp:

Logo IQ-BRAIN project

16 PhD positions in trustworthy AI for quantitative neuro-MRI

2024-10-18T09:22:14Z

LVanherp: Created page with "[https://www.uantwerpen.be/e..."