PhD Position in Computer Science, Pharmaceutical Sciences

    PhD Position in Computer Science, Pharmaceutical Sciences

    PhD scholarship in secure track-and-trace technology for personalized medicine for the graduates in (MSc degree) Computer science and experience in algorithms, programming languages, systems, data science/machine learning is available in the Department of Computer Science, University of Copenhagen, Denmark


    Deadline to Apply

    Apr 30, 2021 (23: 59 GMT +1)


    Overview

    PositionPhD Position
    No. of Position(s)One
    Research Area– Computer Science
    – Machine Learning
    – Data Science
    ScholarshipAccording to Standard Norms
    WorkplaceProgramming Languages and Theory of Computing (PLTC)
    Department of Computer Science
    University of Copenhagen
    Denmark
    Contract Period3 Years

    Qualifications

    • MSc degree in computer science or equivalent with solid academic credentials in algorithms, programming languages, systems, data science/machine learning.
    • Prior knowledge of decentralized systems (based on blockchain and distributed ledger technology), security and privacy techniques (hardware, systems and/or cryptography) are advantageous, but not required.
    • An active interest in a cross-disciplinary research agenda and research interactions to improve digital health is vital.
    • You are expected to have good English skills.
    • As criteria for the assessment of your qualifications, emphasis will also be put on previous publications (if any) and relevant work experience.

    Responsibilities

    • To manage and carry through your research project
    • Attend PhD courses
    • Write scientific articles and a PhD dissertation
    • Teach and disseminate your research
    • To stay at an external research institution for a few months, preferably abroad
    • Work for the department

    How to Apply?

    The application, in English, must be submitted electronically by clicking APPLY ONLINE button mentioned above.

    Documents Required

    • Cover Letter
    • CV
    • Diploma and transcripts of records (BSc and MSc)
    • Acceptance Letter for the relevant MSc Programme at SCIENCE, if any
    • Other information for consideration, e.g. list of publications (if any)
    • 1-3 reference letters (if any)

    Reference letters must be uploaded by the applicant him/herself. The recruiting person must NOT  obtain reference letters which content is not known to the applicant him/herself. This is against Danish law.

    About the Project

    The Track & Trace – Traceable Pharmaceuticals project is an interdisciplinary project in collaboration with the School of Pharmaceutical Sciences at UCPH.

    Its objective is designing innovative personalized pharmaceutical products linked to a decentralized proof-of-concept platform for secure (confidential and privacy preserving) tamper-proof event recording, product tracking, user authentication and access authorization. The data collected from individuals is to be used for generating a spectrum of dosage units, simulating their use on a specific patient at particular time in their treatment, based on rich health data to facilitate individualized optimal dosing. Ultimately, this new supply chain is envisaged to enable more precise and safe medication.

    This PhD fellowship is hosted at DIKU and focuses on the computer science aspects of Track & Trace.  The project is to address questions such as: How can individual tablets be securely serialized, that is reliably identified for digital tracking and yet guaranteed not to be physically or digitally forgeable? How can sensitive fine-grained personal health data from smart phones, health trackers, blood pressure monitors or similar be used as real-time input to personalized dosage optimization, while preserving the patient’s control over their data and providing an auditable provenance of their use? How can models of the predicted effects of a tablet be described in a domain-specific language (DSL) for pharmaceutical engineers that encapsulates and facilitates dosage optimization based on fine-grained individual time series data?  How can a variety of techniques such as data analytics/heuristic methods, deep learning and/or probabilistic programming be employed “under the hood’’ without hardwiring them into the DSL?

    This fellowship is complemented by a PhD fellowship in Prof. Jukka Rantanens research group at the School of Pharmaceutical Sciences, which has the pharmacology research expertise and production facilities for individualized printing of tablets.

    About the Programming Languages and Theory of Computing (PLTC)

    The Programming Languages and Theory of Computing (PLTC) Section at DIKU researches foundational and applied aspects of programming languages and systems for functional programming, high-performance computing, machine learning, probabilistic programming, decentralized systems and more, with a wide variety of applications including digital health and sustainable production in collaboration with other sections, departments and partners.

    Note

    After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Afterwards an assessment committee will be appointed to evaluate the selected applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee and the interview committee.

    Inquiries

    Principal supervisor
    Professor Fritz Henglein
    Department of Computer Science (DIKU)
    Email: henglein@diku.dk
    Phone: +82-45-30589576

    Official advertisement

    PhD fellow in Traceable Pharmaceuticals

    Other PhD Positions with Scholarships

    Post expires at 8:59am on Saturday May 1st, 2021 (GMT+9)