Temple University

The Lecturer is a member of the Department of General Education and delivers English-medium instruction primarily for Academic Communication Skills to first-year undergraduates across STEM and Humanities/Social Sciences cohorts. The role provides EAP/ESP-based teaching to develop seminar participation, presentations, discussion of readings, and short academic texts using appropriate academic language (vocabulary and register) and ethical source use. The Lecturer implements shared assessments and interactive pedagogy, adapts tasks and materials for different disciplinary contexts, localizes content for the Uzbekistani setting, and may teach additional General Education courses relevant to academic communication and student success, subject to departmental needs and qualifications. Key Teaching Areas Academic & Communication Skills: seminar discussion, academic speaking, presentations, and collaborative communication English for Academic Purposes (EAP) / English for Specific Purposes (ESP): academic vocabulary and register, discipline-relevant language use, and communication in university contexts Integrated Academic Language Skills: speaking, listening, academic reading, and reading-to-write/speak tasks aligned to course outcomes Academic Literacy & Integrity: source use, paraphrasing, summarising, referencing basics, and responsible use of information Foundational Academic Writing Support: short academic texts (e.g., paragraphs, summaries, reflections), organisation, clarity, and mechanics as required by course tasks Intercultural Communication & Classroom Norms: culturally responsive teaching, participation norms, and localization of materials/examples for the Uzbekistani context Assessment and Feedback: implementing common rubrics, providing formative feedback, and supporting students across mixed proficiency levels Core Responsibilities Teach a teaching load in English as defined by the employment contract and departmental workload policy, including associated office hours and assessment duties. Design and facilitate active learning sessions (discussion-based, task-based, project- based). Implement course assessments and rubrics consistently across sections. Provide timely feedback, support student progress, and maintain accurate records. Participate in course coordination meetings and contribute to syllabus refinement. Hold office hours and provide student advising related to academic communication skills. Contribute to quality assurance activities (assessment moderation, peer observation, course review). Minimum Qualifications Master’s degree (or higher) in TESOL/Applied Linguistics/Composition/Rhetoric/Education or closely related field. Demonstrated experience teaching academic speaking/communication in an English- medium university context. Proven ability to deliver interactive lessons for multilingual learners. Preferred Qualifications PhD in a relevant field. Native-level English proficiency (e.g., native speaker or demonstrably equivalent proficiency in academic and professional contexts). Experience teaching STEM communication or first-year seminars. Experience with assessment design, rubrics, moderation, and course coordination. Experience in international or cross-cultural higher education settings. Required Skills Strong classroom facilitation and discussion leadership. Ability to scaffold language and thinking skills for mixed proficiency groups. Clear, professional communication and collaborative teamwork. Application Materials CV Cover letter addressing teaching fit for English-medium General Education Teaching philosophy (1–2 pages) Names and contact details of 2–3 referees

Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding candidates with prior experience on Aerial or Ground Systems. We are seeking a Post-Doctoral associate to join our expanding team and make significant contributions to the field. The researcher is expected to have (i) strong engineering skills to find innovative and cost-effective means to improve our research, and (ii) exemplary passion and motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly report to Prof. K.J.Kyriakopoulos in close collaboration with other researchers, PhD students, and undergraduate research assistants. The Post-Doctoral associate will engage with our regular collaborators at local institutions in the UAE and abroad. Key responsibilities Conduct high-quality and innovative research primarily focused on Control theory and ML methodologies for Field Robotics; Support the supervisor in developing and implementing the research agenda; Reproduce results of the state-of-the-art (SOTA) methods; Design and implement experiments on real platforms operating outdoors, to compare our proposed work with SOTA baselines; Contribute to the preparation of manuscripts for publication in high-impact journals and conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Possessing a Doctoral degree from a recognized institution in Electrical, Mechanical, Naval or Aerospace Engineering. First-author peer-reviewed published papers (and/or under review) Demonstrable research experience involving integration of hardware and software of robotic systems. Demonstrable research experience in conducting experiments for field robotic systems Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice Experience in maintaining high-quality code on Github Ability to visualize experimental results Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges The appointment will be for two (2) years with the option to renew further depending on performance. The terms of employment are very competitive and will include housing and travel subsidies. Applications will be accepted immediately and candidates will be considered until the position is filled. This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates. To be considered, all applicants must submit a cover letter, up-to-date CV, research statement (1-page), a transcript, and at least two letters of recommendation, all in PDF format on or before July 1, 2025. If you have any questions that are not answered in the job advert, please email: kk4812@nyu.edu and include [Application for postdoctoral researcher] in the subject line. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project, funded by Singapore Ministry of Education (MOE), where you will be part of the research team to develop a scalable and comprehensive framework for formal verification of quantum programs. The framework consists of the following deliverables: Intermediate Language. We plan to develop an intermediate language to model quantum programs. The intermediate language would be complete to describe all the desired characteristics of quantum computing while at the same time simple enough to be understood by most programmers. Formal Verification Framework. We plan to develop a comprehensive framework to verify the correctness of quantum programs written in the proposed intermediate language. Mechanization. We plan to mechanize the formal framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: develop an intermediate language to write quantum programs. develop a comprehensive framework to verify the correctness of quantum programs written in our intermediate language. mechanize the verification framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. develop formal methods for automatic reasoning that can be materialized into commercial tools. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of formal methods (including theorem proving and model checking), quantum computing, and software analysis/verification. Have a degree in computer science, computer engineering, electrical engineering, or related areas. Possessing a Master degree will be advantageous. Knowledge of quantum circuit design and quantum program analysis/verification will be advantageous. Key Competencies Able to build and maintain strong working relationships with people within and external to the university Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work