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PhD Student wanted for patient decision aid development for oncology patients using radiomics and deep learning methods

  • ORGANISATION/COMPANY: Maastricht University

  • RESEARCH FIELD: Computer science › Informatics

                                        Engineering › Knowledge engineering

                                        Medical sciences › Medicine

                                        Technology › Medical technology

  • RESEARCHER PROFILE: First Stage Researcher (R1)

  • APPLICATION DEADLINE: 31/2/2018 00:00 - Europe/London

  • LOCATION: Netherlands › Maastricht

  • TYPE OF CONTRACT: Temporary

  • JOB STATUS: Full-time

  • HOURS PER WEEK: 40

  • OFFER STARTING DATE: 01/03/2018

  • EU RESEARCH FRAMEWORK PROGRAMME: H2020 / Marie Skłodowska-Curie Actions

  • MARIE CURIE GRANT AGREEMENT NUMBER: 766276

  • IS THE JOB RELATED TO STAFF POSITION WITHIN A RESEARCH INFRASTRUCTURE? Yes

     

Looking for: Applicants with backgrounds from Information science, Business informatics, HCI, software engineering, machine learning, computer science, or equivalent, with an interest for clinical decision support systems.

In this project, you will develop clinical decision support systems based on machine learning models learned from medical imaging data. Clinical decision support systems will enable patients to make a shared decision about the optimal and preferred treatment for the patient and the disease. Your research will involve utilizing a high-throughput image characterization workflow and relating quantitative image features to outcome using a so-called “radiomics” and/or Deep Learning approach (see animation on www.radiomics.world). Predictive and prognostic models will be developed using existing and future patient cohorts from multicentric trials conducted throughout the Europe and the US. You will have access to several training courses organized within the consortium. You will then embed these models in patient decision aid software, a graphical representation of these models that is understandable for the user. An example of such a patient decision aid can be found here http://www.treatmentchoice.info/

 

Offer Requirements

REQUIRED LANGUAGES

ENGLISH: Excellent

Skills/Qualifications

We are looking for a candidate who has:

Completed a Masters (or equivalent) degree in Information science, Business informatics, HCI, Software engineering, machine learning, computer science, or equivalent technical training

Experience with UX design, internet programming, object oriented programming, UML.

Software testing methods such as unit tests, integration testing and performance testing.

Programming experience in Java or C#

Internet programming experience with HTML5, javascript, CSS3, PHP

Preferably experience with imaging techniques (CT, MRI, PET), DICOM and image analysis

Specific Requirements

Fluently in English, both writing and speaking

Readiness to travel to Europe for longer durations

An independent and practical personality and you are able to take initiatives.

We are looking for a positively minded scientist motivated to learn new approaches and ready to work hard to build a scientific career. The candidate should have a sociable personality with good communication skills, a problem-solving attitude, learn fast to plan his own workload effectively and to delegate when necessary and have conceptual ability.

 

We want you!

Join the team

PhD Student wanted for patient decision aid development for oncology patients using radiomics and deep learning methods

  • ORGANISATION/COMPANY: Maastricht University

  • RESEARCH FIELD: Computer science › Informatics

                                        Engineering › Knowledge engineering

                                        Medical sciences › Medicine

                                        Technology › Medical technology

  • RESEARCHER PROFILE: First Stage Researcher (R1)

  • APPLICATION DEADLINE: 31/2/2018 00:00 - Europe/London

  • LOCATION: Netherlands › Maastricht

  • TYPE OF CONTRACT: Temporary

  • JOB STATUS: Full-time

  • HOURS PER WEEK: 40

  • OFFER STARTING DATE: 01/03/2018

  • EU RESEARCH FRAMEWORK PROGRAMME: H2020 / Marie Skłodowska-Curie Actions

  • MARIE CURIE GRANT AGREEMENT NUMBER: 766276

  • IS THE JOB RELATED TO STAFF POSITION WITHIN A RESEARCH INFRASTRUCTURE? Yes

     

Looking for: Applicants with backgrounds from Information science, Business informatics, HCI, software engineering, machine learning, computer science, or equivalent, with an interest for clinical decision support systems.

In this project, you will develop clinical decision support systems based on machine learning models learned from medical imaging data. Clinical decision support systems will enable patients to make a shared decision about the optimal and preferred treatment for the patient and the disease. Your research will involve utilizing a high-throughput image characterization workflow and relating quantitative image features to outcome using a so-called “radiomics” and/or Deep Learning approach (see animation on www.radiomics.world). Predictive and prognostic models will be developed using existing and future patient cohorts from multicentric trials conducted throughout the Europe and the US. You will have access to several training courses organized within the consortium. You will then embed these models in patient decision aid software, a graphical representation of these models that is understandable for the user. An example of such a patient decision aid can be found here http://www.treatmentchoice.info/

 

Offer Requirements

REQUIRED LANGUAGES

ENGLISH: Excellent Requirements

Fluently in English, both writing and speaking

Readiness to travel to Europe for longer durations

An independent and practical personality and you are able to take initiatives.

We are looking for a positively minded scientist motivated to learn new approaches and ready to work hard to build a scientific career. The candidate should have a sociable personality with good communication skills, a problem-solving attitude, learn fast to plan his own workload effectively and to delegate when necessary and have conceptual ability.

 

Skills/Qualifications

We are looking for a candidate who has: Completed a Masters (or equivalent) degree in Information science, Business informatics, HCI, Software engineering, machine learning, computer science, or equivalent technical training

Experience with UX design, internet programming, object oriented programming, UML.

 

Software testing methods such as unit tests, integration testing and performance testing.

Programming experience in Java or C#Internet programming experience with HTML5, javascript, CSS3, PHP

Preferably experience with imaging techniques (CT, MRI, PET), DICOM and image analysis.

Specific Requirements

Fluently in English, both writing and speaking. Readiness to travel to Europe for longer durations

An independent and practical personality and you are able to take initiatives.

 

We are looking for a positively minded scientist motivated to learn new approaches and ready to work hard to build a scientific career. The candidate should have a sociable personality with good communication skills, a problem-solving attitude, learn fast to plan his own workload effectively and to delegate when necessary and have conceptual ability.