University of California, Davis

Ref.: 534424 Work type: Full-time Department: Department of Obstetrics and Gynaecology, School of Clinical Medicine (20900) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Clinical Associate Professor/ Clinical Assistant Professor (several posts) in the Department of Obstetrics and Gynaecology, School of Clinical Medicine (Ref.: 534424), to commence as soon as possible, on a four-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second four-year fixed-term contract, subject to funding availability and satisfactory performance. Applicants should possess a medical qualification registrable with the Medical Council of Hong Kong and a specialist qualification in Obstetrics and Gynaecology, i.e. Fellowship of the Hong Kong Academy of Medicine (Obstetrics and Gynaecology). Applicants should demonstrate proven capacity and potential for high-quality research, and excellence in teaching and student supervision at both undergraduate and postgraduate levels. They must also demonstrate a strong commitment to teaching, and be able to contribute to the enhancement and development of medical and health sciences courses in the Faculty. Those with experience of having successfully developed and submitted research grants and worked effectively with major international partners and funding agencies; interacting effectively across multiple sectors; and establishing and managing studies involving colleagues from different disciplinary backgrounds may be favourably considered. The appointees will undertake teaching responsibilities, and organize and develop both undergraduate and postgraduate programmes. They are expected to conduct high-quality scholarly research, provide clinical services and patient care at the University's teaching hospitals, and participate in services/administration at Departmental, Faculty and University levels. They are also expected to play a key role in leading the development of academic scholarship and teaching programmes of the Department. Information about the Department can be obtained at https://obsgyn.med.hku.hk/. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also be provided as applicable. The University only accepts online application for the above posts. Applicants should apply online, upload an up-to-date C.V. with an indication of research orientation and specialty of interest, and provide the contact information of at least 3 referees who can comment on his/her academic scholarship. Review of applications will start from May 4, 2026 and continue until June 30, 2026, or until the posts are filled, whichever is earlier.

Ref.: 534505 Work type: Full-time Department: Faculty of Arts (04000) Categories: Professoriate Staff Applications are invited for a joint appointment as Associate Professor on tenure terms or Tenure-Track Assistant Professor in the Faculty of Arts and the School of Computing and Data Science (Ref.: 534505), to commence on August 1, 2026 or as soon as possible thereafter. Appointment as Assistant Professor will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. This is an open-discipline call. We are seeking outstanding Humanities scholars capable of developing a creative and innovative programme of research and teaching bridging existing disciplinary strengths in HKUArts and artificial intelligence applications. The appointee will have their tenure home in their specific (inter)disciplinary unit in the Faculty of Arts, but will be jointly appointed to the School of Computing and Data Science and will also become a member of the Institute of Data Science (IDS). As an AI+Arts hire the appointee will foster cross-disciplinary collaborations between strategic research areas in the Faculty and, with the support of the Arts Technology Lab and its staff, take a leading role in applying artificial intelligence (AI) to their research and teaching in the Arts and Humanities. They will develop and maintain high-calibre research, publish their research findings with reputable journals and/or presses, and present their research at conferences, secure external funding through applications for grants, teach courses, mentor students, contribute to service and engage in the scholarly activities of the Faculty. Their teaching will support our AI-rich programme offerings. Applicants should possess a Ph.D. in a relevant field. The ideal candidate will demonstrate a robust research record with a cross-disciplinary approach spanning multiple subfields; a strong commitment to excellence in both research and teaching; and proven academic leadership qualities to contribute to interdisciplinary programmes such as BA&BEng(AI&DataSc) and BA(HDT). The Faculty of Arts The Faculty of Arts, founded in 1912, is a research-led, English-medium faculty offering undergraduate, taught postgraduate, and research postgraduate programmes. One of the University’s three original faculties, with over 3,600 students and some 220 full-time academic and 90 administrative staff, the Faculty of Arts is China’s most international English-language Arts faculty. The quality and comprehensiveness of humanities research and teaching in the Arts Faculty distinguish HKU from other top-ranking universities in China, and make HKU a key vantage point for the study of China’s past and present in relation to the world. The Faculty delivers impact through internationalization, innovation and interdisciplinarity. The Faculty ranges from 1st-4th place in Asia and from 14th-54th in the various world rankings. HKU is the only Asian university in the top 30 ‘Best Universities for Arts and Humanities.’ While HKU regularly places in the top 1-2 most ‘international’ universities in the global rankings, Arts is its most international faculty with 75.7% international professoriate staff. More information about the Faculty is available https://arts.hku.hk/. The School of Computing and Data Science The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence and 21st in Computer Science and Information Systems in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. What we offer The successful candidate will be jointly appointed by a Teaching Department in the Faculty of Arts and the School of Computing and Data Science best aligned with the candidate’s expertise. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary for fixed-term appointment. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three references. Review of applications will commence as soon as possible and continue until April 30, 2026, or until the post is filled, whichever is earlier. The University is committed to diversity and inclusivity. The Faculty of Arts expressly encourages qualified persons from all genders to apply.

Doctoral position at Department of Electronics and Nanoengineering at Aalto University, in Espoo, Finland. DC12: Design, fabrication, and characterization of reconfigurable and time-varying optical metasurfaces Main supervisor: Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors:  Prof. Rockstuhl [KIT] and Prof. Díaz-Rubio [UPV] Objectives To design optical metasurfaces capable of complex reconfigurable functionalities while restricting control to a single, or otherwise limited, discrete set of tuning parameters, enabling practical global actuation and robust device operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics with realistic material constraints and experimentally feasible excitation and driving schemes. To fabricate and experimentally characterize the designed prototypes, and to validate their reconfigurable and time-varying performance through quantitative comparison with analytical modeling and full-wave simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using inversely designed metasurfaces", which has been funded under the Horizon Europe Marie Skłodowska-Curie Actions (MSCA) program. Acquire knowledge During the thesis, the candidate will acquire a solid understanding of the theoretical and practical requirements for designing optical metasurfaces with complex reconfigurable and time-varying responses, with particular emphasis on achieving rich functionality under a single or otherwise limited set of discrete tuning parameters. In parallel, the candidate will gain in-depth knowledge of time-modulated photonic media, nonlinear optics, adjoint-based optimization strategies for high-dimensional inverse design, and realistic material and excitation constraints at optical frequencies. The candidate will also develop practical expertise in prototype fabrication, experimental characterization, and quantitative validation of measured performance against analytical models and full-wave simulations. Go to the project webpage for more information What METATUNE Offers Work contract at Aalto is for 36 months funded through the MSCA network, with the additional benefits for employees (public and universal health system, free schools, etc.). Three research stays, one 4-month at Karlsruher Institut fuer Technologie, one 3-month at Photonicsens SL in Valencia, Spain, and one 3-month at Polytechnic University of Valencia are foreseen in the research plan. Opportunity to pursue a PhD degree at a leading European university within a collaborative, international network. Training program including research-specific and transferable skills courses. Active participation in workshops, conferences, and network-wide events to build professional and scientific connections. Stimulating, multidisciplinary, and international research environment within a prestigious European training network. Starting date: Now-December 2026; negotiable. Deadline for online application: May 31, 2026 (but candidates are encouraged to apply as soon as possible). Requirements Mandatory Requirements You must have a finalised master’s degree in fields related to the research topic: Electrical Engineering, Physics, Telecommunications Engineering, Applied Physics, Optics, Material Engineering, or similar. You should not have a doctoral degree at the time of recruitment.  You must not have resided or carried out your main activity (work, studies, etc.) in Finland for more than 12 months in the 36 months immediately before the recruitment (this is a requirement from the funding authority). You will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering and must satisfy the eligibility conditions for this doctoral programme. Sufficient skills in the English language. Additional Requirements Strong background in electrodynamics and excellent mathematical skills. Basic knowledge of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills, attention to details, and ability to meet deadlines. Willingness to learn and work collaboratively in a research environment. Desired skills and knowledge Proficiency in electromagnetic simulation software, such as COMSOL Multiphysics, ANSYS HFSS, or CST Studio Suite. Previous experience with the topic of time-varying materials or systems. Solid knowledge of computational electromagnetics. Previous experience in nanofabrication or design of metasurfaces. Apply now via this link, at the latest by May 31st, 2026: https://metatune.webs.upv.es/jobs/