Phd Position: The Role Of Neuroimaging Biomarkers In Predicting The Clinical Phenotype In Parki[] Lazio

Phd Position: The Role Of Neuroimaging Biomarkers In Predicting The Clinical Phenotype In Parki[]
Roma
Lazio, Lazio

Organisation / Company : University of Pisa Department : Dipartimento di Ricerca Traslazionale e delle Nuove Tecnologie in Medicina e Chirurgia Research Field : Computer science » Modelling tools, Computer science » Programming, Medical sciences » Health sciences Researcher Profile : First Stage Researcher (R1) Positions : PhD Positions Country : Italy Application Deadline : 28 Feb 2025 - 23:59 (Europe / Berlin) Type of Contract : Temporary Job Status : Full-time Offer Starting Date : 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description AIPD is a doctoral network made up of 15 Partners and funded by Marie Sklodowska-Curie Actions (MSCA) which is part of Horizon Europe. The MSCA are the European Union's flagship funding programme for doctoral education and postdoctoral training of researchers. Funding is provided for doctoral candidates from both inside and outside Europe to carry out individual project work in a European country other than their own. The AIPD Doctoral Network will train a cohort of 14 Doctoral Candidates (DCs) in an intersectoral, international and interdisciplinary setting. Training Objectives: Medical data collection, semantics and governance Statistics, data mining and AI / ML, including technical aspects of trustworthiness of AI / ML Practical hands-on programming Digital health with focus on neurology, including image analysis Basics of PD neuropathology and genetics Research Objectives: How can AI / ML algorithms support physicians to earlier diagnose PD, stratify patients into relevant subgroups, prognose disease progression and assess the response to treatment on an individual basis (precision medicine)? How can AI / ML algorithms contribute to a more objective monitoring of disease symptoms, e. g. via digital voice and gait recordings, and neuroimaging? How can all of that be realized in an ethical, legally compliant and trust preserving manner in agreement to the principles of trustworthy AI? Responsibilities: Development & application of innovative algorithms in the field of machine learning, specifically with focus on precision medicine, digital health and AI trustworthiness Presentation of results via scientific publications, workshops and conferences as well as to external collaboration partners within the AIPD network and beyond Active support of supervisor in terms of acquisition of new projects and technology transfer Knowledge: Clear understanding of statistical and mathematical concepts underlying Data Science. Ability to work independently. Very good English speaking and writing skills. Very good communication skills. Conditions: Full-time employment contracts at the selected AIPD host institution for 36 months. The exact salary is to be confirmed upon appointment. The basic gross amount is composed of Living Allowance 3400 EUR / month (multiplied by the MSCA Country Correction Coefficients) AND Mobility / Family Allowance 600 to 1260 EUR / month, depending on the family situation. The recruited Doctoral Candidates are expected to complete their PhD theses by the end of or shortly after their 3-year recruitment. Specific Requirements: Applicants hold a Master's degree and meet the admission requirements of the doctorate degree program of the corresponding university of this position. Applicants must be doctoral candidates, i. e. not already in possession of a doctoral degree at the date of the recruitment. Applicants should have professional knowledge in (Scientific) English language. To be eligible, the applicant must satisfy the requirements set out in the Guide for Applicants for the call HORIZON-MSCA-2023-DN-01-01 for supported researchers. Additional Information: Join our international team of 14 doctoral candidates and collaborate with experts in AI / ML, clinical data, omics, digital devices, and neuroimaging. Benefit from interdisciplinary collaboration to address complex research questions, validate AI / ML models, and develop comprehensive disease models. Please quote the reference AIPD-DC11-UniPi when you apply for this position. Applications that do not meet the eligibility criteria or that are received after the deadline will not be considered. We are committed to promoting gender equality and diversity within our research community. We strongly encourage applications from women and other underrepresented groups. J-18808-Ljbffr