For BosomShield, we are looking for a doctorate candidate will have the following responsibilities:

• She/he will perform a research on methods supporting the evaluation process of virtual slides means digital versions of stained tissue preparations in order to propose and verify methods of supporting physicians in their diagnostic, predictive or prognostic work with breast cancer patients.
• She/he will organize the data preparation process and conducting the explainable neural network learning based on the needs reported by coworkers and consultants from Bosom Shield Consortium.
• She/he will design and develop software that performs the inference suited to the need of CAD system which will be an outcome of the project.
• She/he will test using a large set of data, correlation the results of analyzes with the quantities and divisions into classes and categories, as well as therapeutic facts, etc, proposed by physicians.
• She/he will publish the methods and tools for research and the results of applying methods to solve some specific categories of medical problems in journals with IF>1
• She/he will collaborate with diverse teams of scientists and engineers to build an advanced system for BosomShield.
• She/he will design and develop cutting edge methods based on brittle computer vision and machine learning algorithms.
• She/he will help advance R&D by finding problems, implementing elegant solutions, and building tools that enable the team to move forward and to measure progress.

ELIGIBILITY CRITERIA

At the attempted deadline for the submission of the proposals (30/07/2022):

- Experienced Researchers:

• Scientific achievements in the field of biomedical engineering, computer science, physics, mathematics as well as medicine or biology documented in publications or authorship in software in use.
• At least 1 research project in which the Candidate participated or led will be additional advantage.

• Knowledge of deep learning concepts and experience with deep learning environments (eg.: TensorFlow, PyTorch, etc).
• Excellent practical software engineering ability, particularly Python and C/C++.
• Knowledge of medical image analysis and working with image data.
• Masters degree.

• Collaborative spirit.

- Nationality: Any.

- Mobility: The researcher must not have resided or carried out his/her main activity (work, studies, etc.) in the country of the host organization for more than 12 months in the 3 years immediately prior to the deadline for submission of proposals (a relaxed rule for Career restarting and Reintegration).

- Must be fluent in English (both written and spoken).

• a full-time position (1.0 FTE) of 6 months with the possibility to prolongs up to 3 years
• a salary of 2000 € gross per month for a full-time job
• a family allowance, if applicable
• benefits from employing offer: e.g. additional health insurance

The successful candidate will first be offered a temporary position of six months with the option of renewal up to three years. Prolongation of the contract is subjected to sufficient progress in the six months.

- Experienced Researchers:

• Scientific achievements in the field of biomedical engineering, computer science, physics, mathematics as well as medicine or biology documented in publications or authorship in software in use.
• At least 1 research project in which the Candidate participated or led will be additional advantage.

• Knowledge of deep learning concepts and experience with deep learning environments (eg.: TensorFlow, PyTorch, etc).
• Excellent practical software engineering ability, particularly Python and C/C++.
• Knowledge of medical image analysis and working with image data.
• Masters degree.

• Collaborative spirit.

- Nationality: Any.

- Mobility: The researcher must not have resided or carried out his/her main activity (work, studies, etc.) in the country of the host organization for more than 12 months in the 3 years immediately prior to the deadline for submission of proposals (a relaxed rule for Career restarting and Reintegration).

- Must be fluent in English (both written and spoken).

• Researchers willing to apply should check that they fulfil the eligibility criteria and then send an expression of interest, consisting of:
• Scanned copy of identity card, resident's card or passport currently in force.
• Curriculum Vitae (Any research career gaps and/or unconventional paths should be clearly explained so that this can be fairly assessed by the evaluators; if you are a forcibly displaced researcher, please explain your situation in the CV; if you have been residing in Country in the last 3 years please provide the exact duration and motives of your stay and be prepared to provide the documentation proving it during the redress phase if required by the Project Manager). We strongly recommend you to use the Europass CV template.
• Scanned copy of the certificate of the official academic qualification. Students who hold Master’s degrees should present the scanned copies of their master's degrees. Students who are registered in an official university master's course must present a scanned copy of their master's course registration form.
• Scanned copy of academic transcript of the qualification equivalent to a bachelor's degree.
• Scanned copy of academic transcript of the master's degree. Candidates who have not completed their Master's degrees must send their provisional academic transcript.
• Two signed and scanned reference letters. We will not contact the referees on your behalf.
• A motivation letter, explaining his expertise and how the candidate is suited for the position she/he applies for.
• All documents must be prepared in the English language.

• Expressions of interest must be submitted to your account through https//:bosomshield.eu.
• Researchers willing must apply to only one positions of the aforementioned 10 positions.
• DCs will be pre-selected on the basis of internal evaluation.
• Candidates will be informed of the results of the pre-selection two weeks/10 days after the deadline.
• Interview between the highest ranked candidates of the pre-selection will be organed by the supervisors to select the final candidate.
• All documents must be prepared in the English language.