PhD studies on Blockchain technologies, machine learning algorithms and Health data
PhD studies on Blockchain technologies, machine learning algorithms and Health data
2 days ago Be among the first 25 applicants
Direct message the job poster from ISTAR-Iscte
Eng. Associate Professor w/ Habilitation at ISCTE - University Institute of Lisbon (public), Information Systems, PhD. Expert Panel Member of the EU…
We are looking for a motivated PhD candidate willing to apply to the PHD Programme in Information Science and Technology of Iscte (https://www.iscte-iul.pt/degree/code/B408/doctorate-degree-phd-in-information-science-and-technology) and willing to work on Blockchain technologies, machine learning algorithms and Health data.
Requirements:
-Proficiency on specification, design and software coding skills
-Knowledge on Blockchain/DLT technologies, and machine learning algorithms
Apply with your CV and short proposal and motivation letter until the 9 th of June 2025.
Company Description
ISTAR-Iscte, the Information Sciences, Technologies and Architecture Research Center at Iscte, is dedicated to fundamental, applied and multidisciplinary research converging in areas like Computer Science and Information Technologies, Mathematics for computational problems, and the digital dimensions of Architecture and Urbanism. The center focuses on human-based systems, including the design of digital living spaces, information systems, software, and computational modeling. It is organised into four research groups: Digital Living Spaces, Information Systems, Software System Engineering, and Systems Computational Modelling. ISTAR-Iscte participates in numerous international research projects funded by programs, like Horizon Europe, Erasmus+, Marie Curie Actions.
Role Description
This is a full-time on-site role for a PhD candidate focusing on Blockchain technologies, machine learning algorithms, and health data. The role is based in the Lisbon Metropolitan Area. The candidate will be responsible for conducting advanced research in these areas, developing and testing new algorithms, analysing health data, and collaborating with multidisciplinary teams. Daily tasks include literature reviews, data collection, experimental design, algorithm implementation, and manuscript preparation for academic journals.
Qualifications
* Proficiency in Blockchain/DLT technologies and machine learning algorithms
* Experience with data analysis and relevant data collection methods
* Strong programming skills (e.g., Python, R) and familiarity with relevant software tools
* Excellent research skills including literature reviews, experimental design, and data analysis
* Proficient in scientific writing and manuscript preparation for academic journals
* Ability to work collaboratively within multidisciplinary teams
* Strong problem-solving skills and attention to detail
* Relevant educational background (Master's degree in Computer Science, Information Technologies, Mathematics, or related fields)
* Prior experience in related research projects is a plus
Seniority level
* Seniority level
Internship
Employment type
* Employment type
Full-time
Job function
* Job function
Research, Analyst, and Information Technology
* Industries
Higher Education
Referrals increase your chances of interviewing at ISTAR-Iscte by 2x
Get notified about new PHD jobs in Lisbon Metropolitan Area.
Clinical Scientist, CNS, Cronos-PCS (home-based Portugal)
Technological Energy and Business Analyst
Assistant / Associate Or Full Professor In Risk Analysis And Management
Global Safety Strategy & Risk Management PharmD Fellow, Safety Analysis Scientist
Project Manager / Sr Project Mgr - FSP - EMEA - Global Medical Affairs
Clinical Trial Psych Rater - Portugese Speaking
Senior Quantitative User Experience Researcher (Frontend) (Bangkok-based, Relocation provided)
Principal Quantitative User Experience Researcher (Frontend) (Bangkok-based, Relocation provided)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr