Alupe University

Description The Center for Translational Medical Devices (CENTMED) at New York University Abu Dhabi (NYUAD) seeks to recruit a postdoctoral research associate to join this new initiative focusing on designing and developing novel medical devices for ultimate human use. CENTMED oversees a variety of exciting projects developing new treatments and diagnostics for cardiovascular, neurologic, and metabolic diseases. The successful applicant will join a number of fascinating projects on engineering novel approaches to modulate physiology and neural activity in the brain, gastrointestinal (GI) tract, and other peripheral organs. These projects have a high potential for translation towards treating a variety of neurologic and metabolic disorders. These approaches entail device design and manufacturing, drug conjugation, neuroscience, and preclinical model experiments. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate students, and full-time researchers. They will also have the chance to contribute to other projects within CENTMED, working on cutting-edge initiatives spanning metabolic, cardiovascular, and neurologic diseases. This position offers an exciting opportunity to make a meaningful impact on next-generation surgical technologies, bridging the gap between engineering innovation and clinical application. Applicants must have a PhD in an engineering or biomedical-related field. Excellent experimental skills relevant to the project (in particular device design and fabrication, drug conjugation, and in vitro and in vivo experimentation) are required. Proficiency in English is required. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Khalil Ramadi at kramadi@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. 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/SexualOrientation/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. We are looking for a passionate and self-motivated candidate to join our team as a Research Fellow. The candidate will be involved in research and development in the area of single-cell analysis technology and will also collaborate with clinical partners on the testing and validation of these technologies.  Key responsibilities include:  Research and development of novel single cell technologies for biomedical applications Collaborate with clinical partners on the testing and validation of the technologies Mentor, supervise and train junior staff members and students Prepare research manuscripts, presentations and grant proposals Other ad hoc duties that may be assigned Requirements PhD degree in biomedical engineering or other relevant engineering disciplines from a reputable university Demonstrable good publication track record Highly motivated with ability to work independently as well as a good team player Excellent skills in project management Excellent written and oral communication skills

As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT. Key Responsibilities Design and develop a prototype of an Artificial Intelligence (AI) model with deep learning algorithm to detect, distinguish and identify complex sensing signals in  maritime space. Conduct literature review on deep learning algorithm for complex signals. Design and develop a prototype for maritime sensing Conduct trials and experiments to determine the success of the prototype,  Propose and develop trials and experiments acceptance test steps/procedures,  Process and analyse the data gathered from the trial and experiments. Prepare the final report on the trial and experiments conducted with details covering findings and analysis, as well as the recommended way ahead. 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. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. 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 sensing, system modeling, simulation testing for both hardware and software, experimental prototyping and testing. Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent. Key Competencies Good knowledge in system modeling, programming, simulations, data analytics, experimental prototype. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.