There are immediate openings for 2-year postdoctoral researcher positions at the Institute for experiential AI, Northeastern University, Boston, USA, with a competitive pay.
Candidates with strong Machine Learning / Computer Vision / Natural Language
Processing expertise that are excited to expand their experiences in AI, on topics related to any
of those areas: Affective Computing, AI for Healthcare, Social Robotics, Explainable AI, and
Fairness in AI, are encouraged to apply. The ideal candidates must have a PhD in EE/CE/CS, proficiency in PyTorch/Tensorflow, and great track record of conference/ journal publications in the top ranked ML/CV/NLP venues. In return, you will be part of a large team working on cutting edge AI research. The postdoc position also provides formal mentoring (both as mentee and mentor) and grant writing opportunities.
If this sounds like the kind of position you’d love to be part of, please send an email to Agata
Lapedriza, email@example.com, with subject «Postdoc at Northeastern University». In
your email please attach: (1) your updated CV; and (2) two representative publications of work
done during your PhD. Qualified candidates will receive a follow-up email with further information.
About Agata Lapedriza
She is a Principal Research Scientist at Northeastern University, at the Institute for Experiential AI, and a Professor at Universitat Oberta de Catalunya (UOC). At Northeastern she leads research in the intersection of Multi-modal Perception, AI for Health, and Responsible AI. At UOC she leads the Artificial Intelligence for Human Well-being (AIWELL) research group at the UOC eHealth Research Center. Since 2012 she has been collaborating with the Massachusetts Institute of Technology (MIT). From 2012 to 2015, she was a visiting professor at MIT Computer Science and Artificial Intelligence Lab, where she worked on Scene Recognition and Interpretable Models in Computer Vision. From 2017 to 2023 she has been a research Affiliate at MIT Medialab, at the Affective Computing group, where she worked on Emotion Perception and Social Robotics. In 2020, she spent a year at Google, USA, as a Visiting Faculty. Her current research interests are related to Computer Vision, Natural Language Processing, Affective Computing, AI for Health, Social Robotics, and Responsible AI.