APPLICATION INSTRUCTIONS: * CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. * CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. * If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are seeking a motivated Research Associate to contribute to an exciting research project in Machine Learning and Data Science, with a specific focus on multilingual text detoxification. Job Duties * Participate in data collection and annotation processes, including data compilation and organization. * Implement machine learning methods and techniques for text detoxification and analysis. * Collaborate with the research team to refine models and methodologies. * Document processes and outcomes for reporting and publication purposes. Requirements and Qualifications * Master's or higher degree in Computer Science, Data Science, or a related field. * Strong understanding of machine learning and natural language processing (NLP). * Familiarity with multilingual text processing and annotation tools is a plus. * Proficiency in Python or similar programming languages. * Ability to work independently and as part of a team. Duration and Compensation * The opening is initially for 6 months, with the possibility of extension or conclusion based on budget, performance, and project needs. * Competitive stipend or salary commensurate with experience. Application Interested candidates should submit their Curriculum Vitae (CV), a brief statement of interest, and any relevant portfolio or project links to iqa5148@pdu.edu. Open until filled. The Pennsylvania State University is committed to and accountable for advancing diversity, equity, inclusion, and sustainability in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity in society and nature, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. Employment with the University will require successful completion of background check(s) in accordance with University policies. EEO IS THE LAW Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Federal Contractors Labor Law Poster PA State Labor Law Poster Affirmative Action Penn State Policies Copyright Information Hotlines Abington, PA