Offer Description
MSCA Doctoral Network MLCARE (Machine Learning Computational Advancements for peRsonalized mEdicine) HORIZON-MSCA-2024-DN-01 - 101226456
The European Doctoral Network “Machine Learning Computational Advancements for peRsonalized mEdicine” (MLCARE), funded under the Horizon Europe MSCA call, will start on January 2026 (with DCs starting between June and September 2026). There are 14 positions for PhD candidates to develop their PhD in the institutions funded by the project.
The MLCARE project seeks to advance personalized medicine by developing cutting-edge AI solutions that integrate genomic, clinical, and environmental data into holistic, multimodal patient representations. The program will equip doctoral candidates with the technical, analytical, and ethical skills needed to lead the future of patient-centered, AI-driven medicine.
The following research topics are offered:
DC1: Hierarchical latent variable models for omics data integration and precision therapy. Host and PhD enrollment: Universidad Carlos III Madrid (ES).
DC2: Foundation Behavioral Models. Host and PhD enrollment: Universidad Carlos III Madrid (ES).
DC3: Clinical foundation models. Host: Max Planck Society for the Advancement of Science (DE). PhD enrollment: Ludwig Maximilian University of Munich (DE).
DC4: Data-integrative individual specific networks (ISNs) to identify dynamic network biomarkers. Host and PhD enrolment: Universite de Liege (BE).
DC5: Explainability & Robustness in Foundation Models. Host and PhD enrolment: Ludwig Maximilian University of Munich (DE).
DC6: Neuropsychiatric Disorders' Development Prediction using Multimodal and Explainable AI Models. Host and PhD enrolment: Ludwig Maximilian University of Munich (DE).
DC7: Sex-stratified investigation of the interplay between asthma and neuropsychiatric disorders. Host and PhD enrolment: Université Paris Cité (FR).
DC8: Precision psychiatric methods in major depression - deep probabilistic networks and rectified factor networks. Host: HMNC Holding GMBH (DE). PhD enrolment: Ludwig Maximilian University of Munich (DE)
DC9: Accelerating Causal Machine Learning with Synthetic Data for ethic and secure Healthcare Real-world Applications. Host: Fundación Pública Andaluza Progreso Y Salud M.P. PhD enrolment: Universidad de Sevilla (ES).
DC10: Enhancing Health Studies: Effective Use of Continuous Health Indicators from Electronic Health Records. Host and PhD enrolment: University of Tartu (EE).
DC11: Foundation models for longitudinal and genomic health data. Host: University of Copenhagen (DK). PhD enrolment: University of Copenhagen (DK).
DC12: Precision Medicine for Weight Management. Host: Astrazeneca UK Limited (UK). PhD enrolment: Universidad Carlos III Madrid (ES).
DC13: Foundation model for biomedical evidence. Host: Pharmatics Limited (UK). PhD enrolment: Universidad Carlos III Madrid (ES).
DC14: A foundation model for medical reasoning. Host and PhD enrolment: Eidgenoessische Technische Hochschule Zuerich (CH).
Where to apply Website
Requirements
Research Field Computer science Education Level Master Degree or equivalent
Research Field Biological sciences Education Level Master Degree or equivalent
Research Field Medical sciences Education Level Master Degree or equivalent
Research Field Engineering » Biomedical engineering Education Level Master Degree or equivalent
Research Field Engineering » Other Education Level Master Degree or equivalent
Research Field Mathematics Education Level Master Degree or equivalent
Skills/Qualifications
At the time of recruitment (i.e. when the employment contract begins), the researcher must have been formally admitted to a PhD programme that meets the for doctoral enrolment in the host country. Proof of admission must be provided prior to the start of the contract.
Solid background in fields like data science, computer science, physics, or mathematics is required.
Candidates with background in biology and medicine, as well as mathematical, computational, and engineering disciplines are also encouraged to apply.
The qualifications required for each position may differ. For detailed information, please consult the official announcements available on the project's website.
A high level of English language is required.
Research experience and good communication skills are appreciated.
Specific Requirements
- Candidates must not already hold a doctoral degree, and by the time they sign the contract, they must be enrolled (or accepted) in a PhD programme leading to the award of a degree in at least one EU Member State or Horizon Europe associated country. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will NOT be considered as doctoral candidates.
- Not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 36 months immediately before the recruitment date - unless as part of a compulsory national service or a procedure for obtaining refugee status under the Geneva Convention.
- Be working exclusively for the action.
Languages ENGLISH Level Excellent
Research Field Computer science » Other
Additional Information
Benefits
- Competitive salary
- Full time dedication with adaptable working conditions
- Support for researchers' mobility, family needs, and special requirements.
Please note that each hosting institution sets its own specific details and conditions, so make sure to review them carefully before applying.
Selection process
Applicants are required to complete both of the following mandatory steps: * Fill in the
, indicating your preferences regarding the available positions. * Submit the application following host indications.
Applications will include a detailed CV and cover letter, academic records, a proof of English proficiency and, at least, 2 letters of recommendation.
Please note: If suitable candidates are identified during the recruitment process, we reserve the right to fill the position before the deadline. All applicants will be notified in due time. This measure aims to ensure a timely recruitment process and to support the successful implementation of the MSCA Doctoral Network. Consequently, we strongly encourage interested applicants to apply at their earliest convenience.
Additional comments
Candidates may apply to more than one position within the project if relevant.
As part of the program, DCs are expected to assist to training in summer schools, perform secondments during the project, and participate in online seminars and other training activities organized by the network. Website for additional job details
Work Location(s)
Number of offers available 14 Company/Institute Different institutions in different countries Country Europe Geofield
Contact State/Province
Madrid City
Leganés Website
Street
Avda. de la Universidad, Nº30 Postal Code
28911 E-Mail
mlcare@uc3m.es
STATUS: EXPIRED
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