Instituto Tecnologico Superior de Xalapa

Department: Classics Grade and Salary: £45,031 - £52,514 per annum, including London Weighting Allowance Job ID: 146425 About us: The Department of Classics at King’s is one of the largest, most prestigious and innovative centres for the study of antiquity in the UK. Our scholarship encompasses all aspects of the Graeco-Roman world, including reception and legacy. In REF2021 the department was ranked first equal on the grade point average of our overall quality profile. About the role: The Department of Classics at King’s College London is seeking to appoint a full-time, permanent lecturer specialising in Greek Art. Applications are sought from candidates with recognised expertise in the visual and material culture of the mid-first millennium BCE in the Aegean and Eastern Mediterranean. Evidence of engagement with the wider Afro-Eurasian context of classical Greek art and/or its later reception would be an advantage, fitting with the department’s commitment to a broader approach to the past via our new BA and MA in Classics and the Ancient World. You will teach on our first-year survey module, ‘The Art and Archaeology of Ancient Greece and Rome’, and develop new modules in your area of specialism for second- and third-year undergraduates as well as for our masters programmes. You will contribute to the planning, organisation and delivery of other teaching activities at undergraduate and postgraduate levels, including fieldtrips to classical lands. You will assume pastoral and administrative responsibilities, have excellent interpersonal skills and a collaborative ethos, participating actively in the life and culture of the department. You will conduct and publish high-quality research in the art of the mid-first millennium BCE, seek external research funding and make a strong contribution to the Department of Classics’ REF2029 submission. You will engage in impact-generating activities and collaborate with the creative industries and other external partners to bring Greek art to broader audiences. This is a full-time post (35 Hours per week) and you will be offered an indefinite contract. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD completed in the art of the mid-first millennium BCE in the Aegean or Eastern Mediterranean  Strong track record in research (in terms of publication and grant capture) relative to career stage, and the ability to make a strong contribution to the Department of Classics’ REF2029 submission Evidence of the ability to engage in impact-generating activities and collaborate with the creative industries and other external partners, relative to career stage Ability to convene, teach and assess modules on Greek art of the mid-first millennium BCE across the undergraduate curriculum, and put that art within its Afro-Eurasian context and its later reception Ability to engage students and support their learning Demonstrable administrative and interpersonal skills, a collaborative ethos, and capacity for team-working Desirable criteria A strong track record of research into the broader geographical and cultural contexts of the art of the mid-first millennium BC and/or its reception Experience of teaching and supporting students at postgraduate level Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change, all adverts will close at 23:59 to allow sufficient time for applications to be submitted on that day. We encourage you to apply at the earliest opportunity to avoid disappointment as once we have closed a vacancy you will be unable to submit your application. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Close Date: 05-Jun-2026

1 x Salary Academic Level A ($80,755 - $109,536) + 17% Superannuation Based at the City, but may be required to work and/or be based at other campuses of the University About the Role We are seeking an engineer to develop next-generation photonic devices using artificial intelligence, inverse design methods, and physics-based modelling. The role is embedded within the ARC E2Crop Hub and the Centre for Atomaterials and Nanomanufacturing (RMIT University), which focus on renewable energy systems, intelligent sensing, advanced materials, and nanoscale device technologies. The successful candidate will develop machine learning approaches (including generative models and physics-informed neural networks) to design and optimise integrated photonic devices and metasurfaces. This includes building automated workflows that link electromagnetic simulation tools with AI models to accelerate device discovery and performance optimisation. The role involves applying computational methods such as topology optimisation, adjoint techniques, and data-driven modelling to identify high-performance, manufacturable photonic structures while accounting for fabrication limits and multi-physics effects. You will also contribute to internal software tools that support rapid prototyping and enable broader research teams to use AI-driven design methods. The position offers access to advanced computational infrastructure and fabrication facilities, supporting research at the intersection of photonics, AI, and nanotechnology. About You Deep understanding of waveguide optics, light-matter interaction, and plasmonics Proficiency with electromagnetic simulation tools (e.g., Lumerical FDTD/MODE, COMSOL Multiphysics, Ansys HFSS, or Meep) Familiarity with Photonic Integrated device design flow and foundry PDKs (Silicon Photonics, SiN, or III-V) Strong proficiency in Python and machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience with photonic design techniques and global optimisation algorithms (Genetic Algorithms, Particle Swarm, Gradient Descent) Experience implementing deep learning architectures relevant to physics, such as CNNs for image-based field prediction, Graph Neural Networks (GNNs), or Physics-Informed Neural Networks (PINNs) Solid grasp of numerical methods, partial differential equations (PDEs), and linear algebra Experience with high-performance computing (HPC) or cloud-based simulation acceleration Experience with integrated photonic device fabrication and light-matter interactions Evidence of research output including high quality publications, conference contributions and/or technical reports in the field. Ability to generate alternative funding projects through effective liaison with industry and government. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners. Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required. Demonstrated high level of communication skills. Qualifications Mandatory: Ph.D. degree in Optical engineering, Applied Physics, or Computer Science Publication record in top-tier journals, demonstrating the application of machine learning to physical problems Experience with surrogate modelling to replace computationally expensive simulations Knowledge of lithography limitations and design-for-manufacturability (DFM). Problem-solving abilities for determining innovative solutions to the complex problems common to photonics design and fabrication. Attention to detail for ensuring precision in coding and model training - and enhancing the accuracy and reliability of AI modelling and data quality. Collaborative skills for working effectively with data scientists, software developers, and project managers. Adaptability, including a willingness to stay updated with the rapidly evolving field of frontier research and learn new techniques and technologies as they emerge. Communication skills for explaining technical project requirements, progress, and outcomes to non-technical stakeholders Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To Apply Please submit your CV and covering letter and address the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. Position Description - Research Assistant, AI Driven Photonics Design Engineer Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements. Applications close on Wednesday, 10th of June. About RMIT University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings Bring Your Whole Self to Work We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond. We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins. RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. We are a Circle Back Initiative Employer - we commit to respond to every applicant.

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively and individually make a real difference. The role We are seeking an enthusiastic and creative researcher to join a 3-year research project, The Stellar Chemical Blueprint of the Early Universe, led by Dr Robert Izzard at the University of Surrey in collaboration with Professor Chiaki Kobayashi at the University of Hertfordshire, and funded by STFC. Recent observations with the James Webb Space Telescope have revealed very young galaxies whose chemical compositions are unlike those of galaxies in the local Universe. In particular, some high-redshift, low-metallicity galaxies show nitrogen enhanced by around a factor of ten, with carbon also enhanced in some systems. These discoveries pose a major challenge to current models of stellar evolution, nucleosynthesis and galactic chemical evolution. The project asks a fundamental question: which stars made the first chemical elements observed in the earliest galaxies, and how did they do so quickly enough to explain the JWST data?  The successful candidate will work at the interface of stellar evolution, stellar population nucleosynthesis and galactic chemical evolution. The project will develop new models of low- and zero-metallicity stars, including single stars, binary stars, massive stars, very-massive stars and AGB stars. These models will be used to predict chemical yields, especially of carbon, nitrogen and oxygen, and to test whether they can reproduce the abundance patterns observed in early galaxies. The work will make use of and extend the open-source binary_crapid population-synthesis code, including its MINT interpolation framework. It will also connect stellar-population results to one-dimensional and three-dimensional galactic chemical evolution simulations, allowing direct comparison with JWST galaxies and forthcoming survey data from facilities such as DESI, MOONS and PFS. The science goals of the proposal are to: identify which stellar sources can produce the unusual nitrogen and carbon abundances observed in early JWST galaxies; quantitatively model the chemical yields of low- and zero-metallicity single and binary-star populations; test the roles of AGB stars, massive stars, very-massive stars and binary interactions in early chemical enrichment; incorporate state-of-the-art stellar yields into galactic chemical evolution models; compare model predictions with JWST observations and forthcoming survey data to determine the origin of the elements in the first galaxies. The role will involve: developing new low- and zero-metallicity stellar-evolution grids for use in binary_c; modelling the chemical yields of single and binary-star populations across a wide mass range; investigating whether AGB, massive, very-massive and binary stars can explain the nitrogen and carbon abundances observed in early galaxies; implementing and testing uncertain input physics, including mass loss, nuclear reaction rates and interpolation methods; coupling stellar-population results to galactic chemical evolution models; comparing model predictions with JWST observations of high-redshift galaxies; publishing results in leading journals and presenting the work at national and international meetings; contributing to the BRIDGCE collaboration and to the wider research culture of the Astrophysics Group at Surrey. This is a fixed-term, full-time position for three years, and is planned to start in October 2026. About you You will have: a PhD, or equivalent research experience, in astrophysics, physics or a closely related discipline; experience in computational or data-driven astrophysics; programming experience relevant to scientific research; the ability to develop, run and interpret quantitative models; the ability to communicate research clearly through written work, presentations and collaboration; a track record of research outputs appropriate to career stage; the ability to work both independently and as part of a collaborative research team. We recognise that candidates may come from different research backgrounds. You do not need to have worked previously on every aspect of stellar evolution, binary stars and galactic chemical evolution, but you should be motivated to develop expertise across these areas as part of the project. How to apply Applications should be submitted online via the University of Surrey jobs portal. Please include: a CV, including list of publications; a cover letter explaining your interest in the role and how your experience fits the project; contact details of at least two referees. Interviews are expected to take place in June, either in person or online. Informal enquiries are welcome and should be directed to Dr Robert Izzard at r.izzard@surrey.ac.uk. Further details Job Description