Prof. Sophia Ananiadou
Position: Director
Telephone: +44 161 306 3092
Email: sophia.ananiadou@manchester.ac.uk
Profile
Current Position
- Professor in Computer Science, University of Manchester
- Director of the National Centre for Text Mining (NaCTeM)
Education
- PhD Computational Linguistics, UMIST
- DEA, Linguistics, Paris VII, Jussieu, France
- DEA, Literature, Paris IV, Sorbonne, France
- BA, Language and Linguistics, University of Athens, Greece
- Diplome de Traducteur, Institut Francais d'Athenes
Employment history
- Research Associate, University of Geneva, Machine Translation (1983-1984)
- Research Assistant, Department of Computational Linguistics, UMIST (1985-1993)
- Research Fellow, Language and Engineering, UMIST (1999-2000)
- Senior Lecturer, Computing, Manchester Metropolitan University (1993-1999)
- Senior Lecturer, Computer Science, School of Computing Science and Engineering, University of Salford (2000-2005)
Featured News
- Invited talk at the 8th Annual Women in Data Science Event at the American University of Beirut
- Invited talk at the 2nd Symposium on NLP for Social Good (NSG), University of Liverpool
- Postdoctoral research position in Athens, Greece. Application deadline: 18th March 2024
- Four-year funded PhD in collaboration with A*STAR, Singapore. Deadline 20 March 2024
- PhD opportunity in collaboration with Athens Univ. of Economics and Business. Deadline 31 Mar 2024
- iCASE EPSRC funded PhD- multimodal NLP - UoM & BAE - Application deadline 30th March 2024
- CFP: BIONLP 2024 and Shared Tasks @ ACL 2024
- Advances in Data Science and Artificial Intelligence Conference 2024
- New review article on emotion detection for misinformation
Other News & Events
- Invited talk at Annual Meeting of the Danish Society of Occupational and Environmental Medicine
- BioNLP 2024 accepted as workshop at ACL 2024
- Junichi Tsujii awarded Order of the Sacred Treasure, Gold Rays with Neck Ribbon
- Chinese Government AwardAward for PhD student Tianlin Zhang
- Keynote talk at EMBL-EBI industry club Machine Learning for Text Mining