HYBRIDS Doctoral Fellow (cross-lingual claim detection for fact-checking)

• Degree: All applicants should have a first-class honour degree or equivalent, or a MSc degree, in Computer Science (or a related discipline).
• Programming skills: Excellent programming skills, ideally in python.
• Language: Excellent command of English, together with good academic writing and presentation skills. The candidate must meet QMUL’s English language requirements: typically an Academic IELTS certificate with a minimum 6.5 overall score, and a minimum of 6.0 in writing and a minimum of 5.5 in reading, speaking and listening. For alternatives to IELTS, see: https://www.qmul.ac.uk/international-students/englishlanguagerequirements/postgraduateresearch/ There are certain circumstances where you may not be required to have an  English Language test to prove your proficiency.  If you hold a degree  from a majority English speaking country or your degree has been taught  and examined in English, please read: https://www.qmul.ac.uk/international-students/englishlanguagerequirements/postgraduatetaught/#d.en.622499

Desirable skills: Excellent knowledge of data science methods, experience with deep learning methods and working with large datasets. Experience in natural language processing is also a plus.

Eligibility Criteria:

• Mobility: At the time of recruitment, the researcher must not have resided or carried out his/her main activity (work, studies, etc.) in the United Kingdom for more than 12 months in the 36 months immediately before the recruitment date. Time spent as part of a procedure for obtaining refugee status under the Geneva Convention or compulsory national service are not taken into account.
• The candidate must be at the date of recruitment a doctoral candidate (i.e. not already in possession of doctoral degree). Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will not be considered eligible.
• The candidate must agree to work exclusively for the action.

Evaluation criteria:

• Academic background (up to 40 points)
• Knowledge and specific achievements (up to 35 points)
• Shortlisted candidates will be invited for an interview in which the selection committee will assess the applicant’s communication skills, initiative, and motivation to pursue a PhD. (up to 25 points)