Nanjing University of Science and Technology (NJUST)

Ref.: 534630 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Professoriate Staff Research Assistant Professor in the Department of Pharmacology and Pharmacy (Ref.: 534630) We now invite applications for the captioned post. Duties and Responsibilities Design and conduct research on the epidemiology and pharmacoepidemiology of age-related diseases, including osteoporosis, sarcopenia, frailty, and other endocrine and metabolism related diseases. Lead research projects investigating the genomics, proteomics, and metabolomics of osteoporosis and related diseases. Publish original research articles in high-impact journals. Secure external competitive grants. Engage in collaborative projects both internally and externally. Supervise and co-supervise undergraduate and postgraduate students. Perform other duties as assigned. Requirements A Ph.D. degree, preferably in epidemiology, pharmacology, bioinformatics, data science, or related fields. At least 2–3 years of postdoctoral research experience is preferred. Strong background in big data analytics, machine learning, and multi-omics. Strong track record of high-quality research, demonstrated by publications and successful grant applications. Excellent project management and organizational skills. A high sense of responsibility and research integrity, with the ability to work independently, collaboratively, and under pressure. What We Offer The appointment will commence as soon as possible on a 1-year temporary basis. A highly competitive salary commensurate with qualifications and experience will be offered, with the possibility of renewal up to 3 years subject to satisfactory performance and funding availability. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from March 19, 2026 and continue until May 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Description The Prof. Sunil Kumar’s Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection. Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination. Write up results and contribute to publications, technical reports and presentations for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks (PyTorch, TensorFlow). Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training. Familiarity with 3D data processing or willingness to learn quickly. Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model explainability methods. Strong software engineering practices: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes). Good written and verbal communication skills and ability to work collaboratively across interdisciplinary teams. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Prabodh Panindre at prabodh@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. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply. 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.

SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our education, providing them with a talented workforce and benefiting from our collaborative research endeavours. Our University’s distinctive applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside and outside of the classroom. These active and authentic learning opportunities ensure that graduates enter their careers with relevant skills and competence. In research, SIT faculty aims to bridge the gap between knowledge creation and utilisation. Our faculty work closely with industry on translational research and innovation, focusing on addressing significant industry challenges to positively impact businesses. The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support exceptional Singaporeans who are interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen   Recently completed postdoctoral training   Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas  Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake.  Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.  Final Interview by Panel for shortlisted applicants will take place from March to April 2026. Awards for the 2026 intake will be finalised by July 2026. Supported Areas for START Health Sciences  Diagnostic Radiography: Radiography involves the controlled use of ionising radiation, radioactive substances and non-ionising radiation to produce diagnostic quality images of the human body, facilitating the diagnosis and treatment of patients (Allied Health Professions Act 2011). Dietetics: Dietetics involves the management of medical conditions and promotion of health through application of food and nutrition. Dietitians provide medical nutrition therapy and implement specific diet strategies for chronic medical conditions, illnesses, or injuries (Singapore Nutrition and Dietetics Association). Nursing: Registered nurses render health services to individuals, families, and communities (Singapore Nursing Board Code for Nurses and Midwives 2018). Speech and Language Therapy: Speech and Language Therapy involves assessment, diagnosis, treatment and management of communication and swallowing disorders (Allied Health Professions Act 2011). Occupational Therapy: Occupational therapy involves assessment and interventions to work or school, self-care, leisure or play, physical environments as well as cognitive, mental and physical components of function to enable individuals affected by physical injury or illness, developmental or learning disabilities, psychosocial dysfunctions or the aging process, to engage in everyday life occupations in order to maximise independent performance of life roles, prevent disability and maintain health (Allied Health Professions Act 2011). Physiotherapy: Physiotherapy involves assessment, treatment, rehabilitation and prevention of pain, injury, or any other physical dysfunction, through the use of education, exercise, manual therapy, electro-physical agents, technology or any other treatment for those purposes (Allied Health Professions Act 2011).