Zhejiang University of Finance and Economics

Description Location Abu Dhabi, United Arab Emirates Description The Division of Engineering at New York University Abu Dhabi, seeks to recruit a motivated Research engineer to work under the supervision of Dr. Marwa Chafii on Channel Modeling for integrated sensing and communication (ISAC). Responsibilities: Lead the design, setup, and execution of ISAC channel measurement campaigns across multiple environments, hardware platforms, and frequency bands Develop, validate, and document ISAC channel modeling methodologies tailored to the lab’s hardware/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and frequency bands. Collaborate with PhD students, postdocs, and faculty on joint projects, ensuring experimental results support theoretical work. Co-author scientific publications in IEEE journals and conferences, and contribute to open datasets/methodologies for the research community. Requirements: Education: Ph.D. (preferred) or M.Sc. in Electrical Engineering, Telecommunications Engineering, or a closely related field. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with C++ for high-performance signal processing is a plus. Experimentation: Proven experience developing wireless prototypes, demonstrators, or proof-of-concept systems. Signal Processing: Solid knowledge of channel estimation, channel sounding, and multipath modeling (channel impulse response, frequency response, MIMO models, AoA, AoD, delay, Doppler, etc). RF Systems: Familiarity with RF front-ends, antennas, calibration, synchronization, and over-the-air testing. Teamwork: Ability to collaborate in an interdisciplinary environment, working with researchers and engineers at different seniority levels. Communication: Strong written and oral communication skills for preparing technical reports, presentations, and publications. Independence: Proven ability to work independently, from problem formulation, experimental design, and system integration to data analysis and reporting. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae with a full publication list,transcript and at least two letters of reference, all in PDF format. If you have any questions, please email Dr. Marwa Chafii at marwa.chafii@nyu.edu. The terms of employment are very competitive and the position provides a salary higher than internationally competitive rates for research associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. Qualifications This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates. 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.

Job Purpose At SIT's Professional Officers Division, we bring our rich industry experience and technical skills into our work, creating a better physical environment where learning and innovation take place. We work with teaching programmes and innovation projects to improve the skills of our students and to strengthen & energise our industry and the wider community. A Professional Officer has a combination of job responsibilities relating to the following: participate in and manage innovation projects, manage digital technology related resources, and mentor & facilitate student learning. The Centre for Digital Enablement (CoDE) drives the initiatives to elevate digital competencies for academic staff and students within SIT. It works with various stakeholders, both internal and external, in upskilling digital literacy across the organization through literacy programmes and digital innovation projects in relation to the Digital Learning Spaces (DLS). For this role, you will spearhead the various AI enablement programmes in SIT, manage the AI related resources and initiatives within CoDE, and lead AI projects within SIT and with industry partners to support teaching and learning objectives. You will also be responsible for developing and delivering digital literacy courses to undergraduate students and academic staff as part of the institutional drive to ensure our graduates are ready for a highly digitally-enabled workforce. Additionally, you’ll be required to mentor and facilitate student learning by participating in and managing student projects. Key Responsibilities AI Enablement Programmes Lead and oversee a range of AI enablement programmes to facilitate the growth of AI skills among SIT undergraduate students and academic staff. Develop an AI Competency Roadmap, providing guidance for SIT undergraduate students and academic staff in developing their AI competencies. Stay up-to-date with the latest developments in AI, ensuring the continued relevancy and currency of the AI enablement programmes and AI Competency Roadmap. Manage AI-related resources within the division such as the administration of software, hardware systems, and equipment. AI Projects Drive AI projects within CoDE to support teaching and learning objectives. Collaborate with industry partners, faculty, Professional Officers and other stakeholders to conduct applied research in AI related technologies. Supervise and mentor students in the development of AI projects. Teaching & Student Mentorship Develop and deliver digital skills literacy related courses or workshops to undergraduate students and staff. This includes development of learning contents and activities, providing consultations on digital skills/technology related queries, and assessment and grading of students’ work. Mentor and facilitate student learning by participating in and managing student projects. Any other matters as directed by Director/Deputy Director of CoDE. Job Requirements A good degree in Computer Science or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. 10+ years of working experience, including at least 5 in Artificial Intelligence, Machine Learning, Analytics, or a related area.SIT Internal Proven experience in developing and deploying AI solutions. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar. Proficiency in data preprocessing, model training, and evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Possess strong supervisory skills and project management skills. Good interpersonal skills and ability to work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline. Enjoy working closely with students in an educational environment.

Job Description FACULTY OF SCIENCE DEPARTMENT OF MATHEMATICS The Department is strongly committed to producing top-class research in the areas of applied mathematics, scientific computing and statistics, while simultaneously emphasises the nurturing of students from a wide range of academic backgrounds. It receives allocation from Science Faculty Niche Research Area to establish world-class research teams to develop the necessary experimental platforms, modelling and data analysis capabilities. Research Assistant Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original methodologies are preferred. Requirements: Applicants should possess a relevant PhD degree with a solid and outstanding track record in research. They should have a solid statistical background, and a strong commitment to excellence in teaching and mentorship. The initial appointment will be made on a fixed-term contract of two years. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with job identification number (stated above) quoted on the letters, to the Human Resources Office (Email: hro@hkbu.edu.hk) direct. Those who are not invited for interview 2 months after submission of application may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.