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adjunct Professor (Tenure Track) in Ethics in Emerging Technol:Job description:
adjunct Professor (Tenure Track) in Ethics in Emerging TechnolWho we areWhy Rensselaer? Our dynamic global community of changemakers includes some of the world's leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity. Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, and one of the world's fastest supercomputers. Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, three astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of practice advancing scientific and technological expertise, Rensselaer remains focused on covering global challenges with a spirit of ingenuity and collaboration. To lgain more, please visit . Are you ready to change the world? Apply now! Job Summary The Lally School of Management at Rensselaer Polytechnic Institute seeks applications for a tenure-track faculty position starting Fall 2023, at the Tenure-track adjunct Professor level, from scholars who work in areas of key technological developments and challenges of the 21st century from an ethical perspective. The prosperous candidate will have a PhD degree from an accredited university in a related area of study, such as analytics, management, ethics and philosophy, along with promise for sustained high quality research publications in premier business outlets. Candidates must provide evidence of effective teaching, and the capability to demonstrate, through accomplishment, promise of academic, scholarly and/or research achievement in their area of skills. skills in basic and advanced topics in business ethics and data analytics A.B.D. candidates without completion of a doctoral degree by August 1, 2023 will be considered only for appointment at the lecturer rank and must have completed the Ph.D. for continuation beyond the first year. Prospective candidates will be expected to teach a variety of undergraduate and graduate courses in basic and advanced topics in business ethics and data analytics. The areas of research interest include, but not limited to, the impact of emerging technologies on employment; surveillance and the value of privacy; biases in data analytics pertaining to predictive algorithms in a wide variety of applications, such as healthcare, financial services, AI-located autonomous vehicles and weapons systems, the criminal justice system, and ethical considerations in AI use in organizations. We are expanding Lally School's reputation in business analytics and management disciplines to address the challenging issues in an increasingly digital economy driven by automated decision platforms. The prosperous candidate will have the opportunity to engage with the vibrant cross-disciplinary research programs across the Institute, namely the School of Humanities, Arts and Social Sciences, as well as the newly-formed Center for Data, AI, and Computing. Application instructions Follow the on-screen prompts to create a brief online profile and contact information for three (3) referees. Please be ready to upload the following required documents: • Letter of interest • CV • Statement of teaching evidence of effective teaching • Diversity statement • Research statement If you need assistance with the online application process, Contact Us by Email address: careers@rpi.edu Job Posted Date Applications will be accepted until the position is filled. COVID-19 Pandemic Protocols Rensselaer welcomes undergraduate and graduate students to campus for an in-person academic practice. To support this practice, all faculty and staff are expected to work primarily onsite. Rensselaer requires all faculty and staff to be vaccinated (and boosted when eligible) against COVID-19. Requests for exemptions for medical or religious reasons will be evaluated on a case by case basis. Skills:
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