RESEARCH FIELDComputer science › Other
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE22/02/2020 23:00 - Europe/Brussels
LOCATIONNorway › Stavanger
TYPE OF CONTRACTTemporary
HOURS PER WEEK37.5
OFFER STARTING DATE01/05/2020
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
MARIE CURIE GRANT AGREEMENT NUMBER860627
bitYoga AS is an up and coming company on the edge of technology providing state of the art security, privacy, and AI solutions located in the city of Stavanger, Norway. We are looking for an upbeat, enthusiastic, self-motivated individual to join our team for a Ph.D fellowship with a focus on AI, Big Data and Blockchain. The PhD will be taken at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science at the University of Stavanger. The position is vacant from May 2020 but could be started earlier.
This is a trainee position that will give promising researchers an opportunity for industry driven research for solving real world problems leading to a doctoral degree.
The appointment is for three years with research and software development duties exclusively.
Applications are invited for full-time Early Stage Researcher (ESR)/PhD student positions within the EU-funded Marie Skłodowska-Curie Innovative Training Network, “CLARIFY – CLoud ARtificial Intelligence For pathologY”, Grant Agreement number 860627. CLARIFY is an innovative, multinational, multi-sectorial, and multidisciplinary research and training programme that links two highly differentiated specialties: engineering and medicine, with a focus on digital pathology.
The scientific goal of CLARIFY is to develop a robust automated digital diagnostic environment based on digital image processing, artificial intelligence/machine learning, cloud computing, and blockchain technology, to enhance knowledge sharing and reach better‐informed decisions. Three specific and challenging cancer types will be studied: i) Triple negative breast cancer (TNBC), ii) High-risk non-muscle invasive bladder cancer (HR-NMIBC), iii) Spitzoid melanocytic lesions (SML).
The CLARIFY project comprises 12 positions in i) artificial intelligence, ii) cloud computing, and iii) clinical pathology.
This announcement is for ESR3, as announced on the CLARIFY website http://www.clarify-project.eu/, with sub-project title: “Taking computation to Data: integrating BigData and Blockchain allowing secure analysis of sensitive health data on‐premise”
The main tasks of ESR3 will be to create an information system that supports transferring computation to data rather than the other way around. ESR3 will 1) enable greater insights and research to be conducted on sensitive health datasets; 2) protect the sensitive datasets by taking the computation directly to the data on premise of health providers; 3) develop a blockchain based framework that integrates with existing Big Data health infrastructure.; 4) allow creation of a consortium that controls the deployed blockchain and improves trust on the data, analysis and shares done through the platform.
The ESR will have her/his main work place at bitYoga. Close collaboration and exchange with project partners and other ESRs involved in the project are key elements of the Marie Skłodowska-Curie program. Mandatory secondment periods are included in the project and the candidate will spend time at project partners’ facilities to access/exchange data, models and other required information for tool development and validation purposes.
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.
Please be aware that for these positions mandatory secondments at different partner institutions are involved.
Applicants, at the date of recruitment, must comply with the following conditions:
(i) be in the first four years of his/her research career and not have a doctoral degree.
(ii) 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). In regards to this position, you must not have resided in Norway.
To apply for this position please follow the link. Register your application and CV including relevant education and work experience. In your application letter you must show your research interests and motivation to apply for the position.
The following documents must be uploaded as attachments to your application:
- list of publications [if any]
- list / links to software development work [e.g. github repos, if any]
- other documentation that you consider relevant
The documentation must be available in English. Information and documentation to be taken into account in the assessment must be submitted within the application deadline. The application deadline is 22 February, 2020.
Please note that information on applicants may be published even if the applicant has requested not to be included in the official list of applicants - see Section 25 of the Freedom of Information Act.
REQUIRED LANGUAGESENGLISH: Excellent
We are looking for applicants with a strong academic, technical and programming background who have completed a five-year master degree (3+2) within computer science, preferably acquired recently; or possess corresponding qualifications that could provide a basis for successfully completing a doctorate. ESR3 will be a data scientist with good software engineering skills and blockchain, big data, machine learning and data security knowledge.
Emphasis is also placed on your:
- motivation and potential for research within the field
- ability to work independently and in a team, be innovative and creative
- ability to work structured and handle a heavy workload
- having a good command of both oral and written English
The candidate must meet eligibility requirements for admission to a doctoral programme at the University of Stavanger. To be eligible for admission to the doctoral programmes at the University of Stavanger both the grade for your master’s thesis and the weighted average grade of your master’s degree must individually be equivalent to or better than a B grade.
Applicants with an education from an institution with a different grade scale than A-F should attach a confirmed conversion scale that shows how the grades can be compared with the Norwegian A-F scale.
EURAXESS offer ID: 473158
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