04/12/2019
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Early Stage Researcher/PhD student position (ESR6) – Artificial intelligence on histological images for diagnosis and prognosis of breast cancer

This job offer has expired


  • ORGANISATION/COMPANY
    Universitat Politècnica de València
  • RESEARCH FIELD
    Computer scienceProgramming
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    15/02/2020 00:00 - Europe/Brussels
  • LOCATION
    Spain › Valencia
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • OFFER STARTING DATE
    01/05/2020
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions
  • MARIE CURIE GRANT AGREEMENT NUMBER
    860627

OFFER DESCRIPTION

Candidates are invited for a full-time Early Stage Researcher/PhD student position within the EU-funded Marie Skłodowska-Curie Innovative Training Network, “CLARIFY – CLoud ARtificial Intelligence For pathologY”, Grant Agreement number 860627.

This position is one of the 12 ESR positions of the CLARIFY project. CLARIFY is an innovative, multinational, multi-sectorial, and multidisciplinary research and training programme that links two highly differentiated specialities: engineering and medicine, with a focus on digital pathology.  For more information visit www.clarify-project.eu .

ESR6’s Project Title: Significant feature extraction from whole slide images for diagnosis and prognosis of triple negative breast cancer

Objectives: To develop new algorithms based on image processing and machine learning disciplines for the extraction of significant features that characterize triple negative breast cancer (TNBC) and differentiate it from other kind of breast cancer and healthy tissue. ESR6 will devote to: 1) Design and implementation of whole-slide-image descriptors based on clinical knowledge to characterize the TNBC (hand-crafted features). 2)  Analyse and implement different strategies of automatic feature extraction based on convolutional neural networks (CNN). 3) Obtain the features automatically learned by the CNN. 4) Comparison of the ability of the different features for differentiating TNBC tissues from other breast tumours or healthy tissues and a combination of them.

The ESR will have his/her main workplace at the Universitat Politècnica de València (Valencia, Spain) but mandatory secondment periods at different partner institutions are also required.

Planned secondment(s): ROCHE (M11,M24,M34): Commercial digital pathology applications and good practices for WSI acquisition and processing; SUH (M14-M16): Clinical knowledge for TNBC diagnosis; UGR (M28-M30): Crowdsourcing models.

More Information

Benefits

  • Full-time 3-year contract with a highly competitive and attractive salary according to regulations of Marie Skłodowska-Curie Actions for Early Stage Researchers.
  • Mobility allowance. Contribution to household, relocation and travel expenses to/from home country.
  • Family allowance (if applicable). Cost of moving with the family to the recruitment country. Family’ means persons linked to the researcher by marriage (or a relationship with equivalent status to a marriage recognised by the legislation of the country where this relationship was formalised) or dependent children who are actually being maintained by the researcher.

Eligibility criteria

Applicants, at the date of recruitment, must comply with the following conditions:

  1. be in the first four years* of his/her research career and not have a doctoral degree.
  2. not have resided in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the recruitment date (and not have carried out their main activity (work, studies, etc.) in that country).

* is measured from the date when a researcher obtained the degree which would formally entitle him or her to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the researcher is recruited. Master students who finish the master in 2019-2020 could apply for CLARIFY positions if they include a letter of commitment to ensure the master’s conclusion in 2019-2020 and their enrolment in a PhD program in 2020-2021. The breach of this commitment will be grounds for contract termination.

Selection process

Motivation letter and CVs must be sent by email to: cvblab@i3b.upv.es

 

In case of being interested in more than one CLARIFY ESR’s position, note that candidates can apply to a maximum of three CLARIFY’s positions and should rank them based on their preferences. This information must be included in the application.

Offer Requirements

Skills/Qualifications

We are looking for engineers with strong academic background and interest in image processing, artificial intelligence, machine learning and deep learning. Specifically, we are interested in people with:

  • Strong motivation and potential for research within the field
  • Background in computer vision and artificial intelligence
  • Programming skills (Matlab, Python, C++, Javascript, php or other languages);
  • Experiences on machine learning and deep learning.
  • Fluent oral and written English
  • Excellent communication skills.

Specific Requirements

Applicants must have completed a master’s degree in Computer Science, Telecommunication Engineering, Electrical Engineering, Biomedical Engineering or other relevant disciplines. ESR6 will enrol in Universitat Politècnica de València’s Doctoral School in Technologies for Health and Wellbeing.

Work location(s)
1 position(s) available at
Universitat Politècnica de València
Spain
Valencia
Valencia
46022
Camino de Vera s/n

EURAXESS offer ID: 469509

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