Atlantic Technological University (Sligo)

Description The Genetic Heritage Group in the Science Division, New York University Abu Dhabi, seeks a highly motivated Post-Doctoral Associate to join our interdisciplinary team investigating the discovery of novel bioactive compounds from human, animal, and environmental microbiomes. The successful candidate will focus on wet-lab experimental approaches to isolate, culture, and characterize microbial strains from diverse sources, including human, animal, and environmental microbiomes. This role involves genome sequencing and phenotyping of novel isolates, metabolite extraction and preparation for LC-MS/MS analysis, and validation of biosynthetic gene cluster (BGC)–metabolite links using heterologous expression, pathway activation, and functional assays. The project provides deeply sequenced microbiomes from humans and the environment across a lifestyle gradient. The postdoc will mine this diversity to isolate organisms, validate biosynthetic gene clusters (BGCs), characterize microbial metabolites, and functionally test candidate compounds. The Post-Doctoral Associate will also purify candidate metabolites using prep-HPLC and fractionation, assess their biological activity (antimicrobial, anti-inflammatory, or immunomodulatory), and work closely with computational collaborators to prioritize microbial strains and BGCs for experimental characterization. In addition, the fellow will maintain accurate laboratory records, troubleshoot experiments, and contribute to manuscript preparation and scientific presentations. The candidate will join a highly multidisciplinary environment consisting of population geneticists, microbiome scientists, statisticians, and computational biologists, as well as graduate and undergraduate students. The ideal candidate will have a Bachelor’s degree in Biology, Genetics, Bioinformatics, Evolutionary Biology, Microbiology, or a related field, and a strong background in microbiology, microbial genetics, natural product chemistry, or related fields, and hands-on experience with bacterial culture, metabolite extraction, LC-MS/MS, HPLC purification, and functional bioassays. Experience with microbial genomics, heterologous expression, or high-throughput screening is highly desirable. Excellent organizational skills, attention to detail, and the ability to work collaboratively in a multidisciplinary team are essential. This position offers a unique opportunity to work at the interface of microbiome science and drug discovery, leveraging cutting-edge technologies to uncover novel therapeutics from underexplored microbial communities. Applicants should be passionate about microbiome-based discovery, experimental innovation, and translating molecular insights into functional outcomes. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, a transcript, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email Prof. Aashish Jha at jhaar@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 NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. 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 seeking a motivated Research Engineer to join our team in developing an AI Training Studio — an innovative platform for AI-vision-based quality inspection in manufacturing plants. The system will enable users to drag and drop foundational AI models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration, inference deployment) and the frontend interface (user-friendly drag-and-drop studio, similar to visual workflow tools). This role is ideal for an engineer eager to gain experience in building applied AI systems that bridge research and industrial deployment. Key Responsibilities Backend Development Design and implement pipeline orchestration for drag-and-drop AI model workflows. Integrate foundational models (classification, detection, segmentation, enhancement) into modular pipelines. Build APIs to manage model training, deployment, and inference. Automate the process of pushing trained models into an inference engine. Frontend Development Develop an intuitive drag-and-drop web interface for building AI pipelines (similar to the attached prototype). Enable users to configure model parameters, connect modules, and monitor training progress. Display performance metrics (e.g., inference time, GPU utilization, throughput, ROI impact) in real time. System Integration Work with the research team to connect AI pipelines to robotic control systems. Support the deployment of trained pipelines in manufacturing testbeds. Job Requirements Have relevant competence in the areas of software and AI development. Have a degree in IT or Engineering. Experience in AI and any programming language will be advantageous.

LU PRESIDENTIAL POSTDOCTORAL RESEARCH FELLOWSHIP SCHEME Postdoctoral Fellow (Post Ref.: 24/888) Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. We are launching the LU Presidential Postdoctoral Research Fellowship Scheme (PPRF) and invite applications from early career researchers from all over the world. Successful candidates will have the opportunity to collaborate with our academics in a supportive and dynamic research environment. The University will provide them with the resources, expertise, and mentorship to achieve their research goals. Eligibility Applicants should have obtained / been conferred a PhD degree or an equivalent qualification, and the PhD degree should have been received no more than three years prior to the start of the Fellowship. They are expected to have a good research track record and demonstrate good potential in publishing high quality papers. Duration and Requirements of the Fellowship The duration of the Fellowship will normally be three years. The appointment will normally be made on an initial contract of 1 year, and further appointment for a period of 2 years is subject to the appointee’s satisfactory performance. The appointees are required to submit applications for the RGC Junior Research Fellow Scheme (JRFS) or the JC STEM Early Career Research Fellowship for Translation and Application (JC STEM ECRF), and are encouraged to apply for other local / overseas grants or fellowship schemes. Terms and Benefits The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointees. The appointees will also be provided with research funding of HK$10,000 per year to support their research activities. Application Procedure Applicants are required to contact potential supervisors at Lingnan University and submit a research proposal (as discussed/developed by the applicants in conjunction with the potential supervisors) together with their applications. In the research proposal, please also indicate the name and the department of the potential supervisor. Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.