Vilnius University

Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs Job Requirements A Master’s degree in Radiography or related field. Possessing a PhD will be an added advantage. Deep technical specialist with 10 or more years of working experience in the acute / community / other clinical rehabilitation setting. Possess clinical experience and competence in Radiography. Having expertise in general radiography or other area of specialization (e.g., MRI, CT, Ultrasound, Angiography and Fluoroscopy) is preferred. Knowledge and experience in working with simulated healthcare institution and community environment and educational manikins will be advantageous. Extensive experience and knowledge of industry practices to bring industry perspective to SIT.  Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.

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.

ELLIS Institute Finland is a newly established world-class research hub in AI and machine learning – and we are growing! We are now seeking postdocs to join the Institute and its wider research community. We welcome applications across all areas of machine learning, artificial intelligence, and related fields. Your research can be theoretical, applied or both. We offer independent postdoc positions within the groups of experienced supervisors, with opportunities to work on ambitious, high-impact projects, and with world-class resources for research including LUMI supercomputer and close collaboration with companies and the ELLIS network. Read more and apply by February 9 at https://www.ellisinstitute.fi/postdoc-recruit-2026