Bunka Gakuen University

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.

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 an academic research project funded by HTX, where you will be part of the research team under the project titled: Occupant Tenability and Time to Flashover in Small-Sized Flats (Numerical Study Phase) Under this job, you will develop a CFD modelling platform to study effects of different ventilation factors on an occupant’s tenability when trapped in the bedroom and have a reliable time to flashover within representative HDB units. Job Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Assists in co-supervision of final year projects (FYP) or capstone projects students under the Project PI. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables. Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects. Prepares and shares fortnightly report of results from the computations with the PI. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by Supervisor. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements: Master or Ph.D (preferred) in Mechanical Engineering, Fire Engineering or related fields. Strong knowledge and experience in flashover/building fire simulation is high advantageous. Hands on experience on experimental studies Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in building fire combustion and spread. Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as FDS and ANSYS package is preferred. Candidate preferably should be familiar and have sufficient experience in using FDS and ANSYS FLUENT, Meshing tool and post-processing software. Key Competencies: Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

About HiPPo Fibre lasers are now routinely used in the most advanced production lines for cutting, welding, 3D printing, and marking of a myriad of materials from glass to steel. The ability to precisely control the properties of the output laser beam and to focus it on the workpiece makes fibre lasers indispensable to modern manufacturing. As we enter the Digital Manufacturing/Industry 4.0 era however, new challenges and opportunities for fibre lasers are emerging. The primary objective of the HiPPo project www.hippo-laser.co.uk) is to move beyond the “fixed” fibre lasers that are currently used in manufacturing, and towards “smart” fibre lasers that are automatically reconfigured and optimised in real-time depending on the application. This ambitious objective requires research breakthroughs across the spectrum of fibre laser development, from the development of new fibre core materials, to addressing limits imposed by instabilities, noise and nonlinearities, to high-speed beam and polarisation shaping, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre laser’, through the neural-network control of a tiled array of fibre lasers in a coherent beam combination architecture, for unlocking novel scaling and beam shaping capabilities in real-time. You will work at the Optoelectronics Research Centre (www.southampton.ac.uk/about/faculties-schools-departments/optoelectronics-research-centre) in a project team of currently nine Research Fellows and a similar number of PhD students focussed on delivering the next generation of fibre lasers. You will have access to our state-of-the-art cleanroom facilities, and be led by a team of world leading experts in the fibre laser and deep learning domains. About you You will have a PhD in an experimental discipline or equivalent experience, ideally with experience in fibre optics and low-noise lasers and optical amplifiers, along with their practical implementation. Applications are also welcome from candidates nearing completion of a relevant PhD qualification. Whilst this is a laser development role, awareness of deep learning techniques is beneficial as you will be working closely with deep learning specialists. What we offer The University of Southampton is in the top 1% of world universities and in the top 10 of the UK’s research-intensive universities. We are committed to sustainability and being a globally responsible university. We have recently been awarded the Platinum EcoAward, and strive to embed sustainability into all aspects of our individual and collective work. We aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. With a generous holiday allowance, we are committed to supporting our staff and are open to flexible working. To informally discuss the position, please contact Prof Johan Nilsson (jn@orc.soton.ac.uk). Please quote the advert reference on all correspondence.