# apologies for cross-postings http://jobs.unimelb.edu.au/caw/en/job/897620/academic-opportunities-natural-language-processing
The School of Computing and Information Systems at the University of Melbourne in Melbourne, Australia seeks applications for tenure-track Lecturers (Level B; roughly approximate to a US Assistant Professor) and Senior Lecturers (Level C; roughly approximate to a US Associate Professor) in Natural Language Processing. Our Natural Learning Processing Group (NLP) has an excellent track record of publication and grant success, working on a wide range of NLP topics, from machine translation to social media analysis to biomedical information extraction. This team is part of some of the most groundbreaking and exciting work at the University of Melbourne. It's our goal to use insights from information retrieval, artificial intelligence, machine learning and related fields to constantly improve and help to enrich our collaborative, interdisciplinary research and teaching across our School and University. We’ve already been joined by some of the best minds, and we’re now inviting talented Lecturers (Level B) and Senior Lecturers (Level C) that have applied experience in the following fields: * Natural Language Processing * Machine Learning * Machine Translation * NLP for digital health and biomedical applications * Conversational and dialogue systems Our NLP Group works in many different areas, in collaboration with a wide variety of organisations throughout the world, driving impact in areas including machine translation, healthcare delivery, and language understanding. We encourage you to share your passion with the next generation of leaders. We look for an ability to engage in thoughts of new and exciting ways to help the growth and development of our students, so that with your guidance we can empower them to unlock their full potential. We are committed to a diverse workforce, and encourage applications from underrepresented groups. We recognise that the differences in our people’s age, race, ethnicity, culture, gender, nationality, sexual orientation, physical ability and background bring richness to our work environment. We look forward to your application.
signature.asc
Description: Message signed with OpenPGP
_______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
