+ The postdoc will work in the ML2 lab at NYU with Prof. He He and Prof. Kyunghyun Cho in the area of machine learning and natural language processing. + The research focus of this position includes, but is not limited to, learning from instructions, multimodal reasoning, few-shot learning, natural language generation, and QA/dialogue. + The postdoc will be encouraged to contribute to establishing research agenda, advise graduate and undergraduate students in the lab, and collaborate with other AI faculty at NYU. Expected duration: 2 years with an option to renew one more year Proposed start date: 11/1/2021 PhD in computer science or related disciplines Strong publication record in NLP, ML, or related areas Strong programming skills, including deep learning libraries such as TensorFlow, PyTorch, etc. Strong communication and leadership skills Applicants should submit the following set of items: CV Research statement (1-2 pages) Contact details of at least two referees For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability