Wedel University of Applied Sciences

Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated researcher to work on topics in the theoretical foundations of data science and AI. The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, and Professor Pierre Youssef. We are particularly interested in candidates with a strong mathematical background and expertise in one or more of the following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position can be filled at either the Postdoctoral Associate level, depending on qualifications. The appointment is for two years, with the possibility of renewal. Requirements: Ph.D. in Mathematics, Computer Science, Engineering, or a related field 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. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a maximum three pages summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Further questions may be directed to Professor Pierre Youssef at yp27@nyu.edu. 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. Equal Employment Opportunity Statement For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

Post duration: 4 years full-time or up to 6 years part-time Salary: AMNL £46,675 to £80,081 (for those below ST3 on 3 August 2016); CADT £65,048 to £73,992 (for those at or above ST3 on 3 August 2016), The Faculty of Medicine wishes to appoint an NIHR Academic Clinical Lecturer, hosted by one of the following clinical specialties: Clinical Genetics, Obstetrics and Gynaecology or General Surgery. The post is intended for an applicant within any of these three specialities, with the speciality of the final (single) post dependent on the successful applicant. The post-holder will be pursuing their development of research and teaching within either the Human Development and Health school or Cancer Sciences school of the Faculty of Medicine, University of Southampton.  In this post-doctoral role, the successful candidate will be in specialist clinical training at ST3 level or above and have substantial experience of the relevant research areas, a proven track record of high-quality original research publications, the ability to work well in a multidisciplinary, multi-professional team and hold a corresponding NTN. You will join the NIHR Clinical Integrated Academic Training Programme at the University of Southampton, as an NIHR Academic Clinical Lecturer. The post-holder will also have clinical commitments at University Hospital Southampton NHS Foundation Trust that will lead to the acquisition of clinical skills required for full registration within the specialty. The post is subject to terms and conditions of service determined by the University of Southampton and in its honorary clinical capacity by the University Hospital Southampton Foundation Trust Board. Informal enquiries are welcome and should be addressed to:  Clinical Genetics: Professor Diana Baralle, Professor of Genomic Medicine - email: d.baralle@soton.ac.uk  Obstetrics and Gynaecology: Professor Ying Cheong, Professor of Reproductive Medicine - email: y.cheong@soton.ac.uk General Surgery: Professor Ramsey Cutress, Professor of Breast Surgery - email: r.i.cutress@soton.ac.uk A satisfactory Criminal Records Bureau disclosure at Enhanced level is required for this post. The Faculty of Medicine holds an Athena SWAN Silver Award demonstrating commitment to equal opportunities and gender balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. For further information including key benefits designed to help maintain and support employees' well-being and work-life balance, please see our working with us website pages.

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 industry innovation research project where you will be part of the research team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key 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: Delft3D and SWAN Modelling: Utilize Delft3D and SWAN software to develop and validate numerical models for wave propagation, storm surge modelling, and coastal dynamics. Building up of a database of sea level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. Research: Conduct research to enhance wave modelling techniques and contribute to the advancement of coastal engineering and oceanography. Impact Assessment: Evaluating the potential impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, and oceanographers. Reporting: Prepare research findings for publication in scientific journals and present results at conferences. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any adhoc duties assigned. Requirements PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics. Proficiency in wave modeling software, particularly Delft3D and SWAN. Strong analytical and problem-solving skills. Research experience in coastal and ocean waves is preferred. Excellent communication (verbal and written) and teamwork abilities Proficiency in machine learning will be an advantage Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work