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Rashid Latif Khan University

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Lahore, Pakistan
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Post-doctoral Fellow in the Division of Public Health Laboratory Sciences (PHLS)

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 536763 Work type: Full-time Department: School of Public Health (22400) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Division of Public Health Laboratory Sciences (PHLS) of the School of Public Health (Ref.: 536763) (to commence as soon as possible, on a one-year or two-year temporary term contract, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a Ph.D. or a doctoral degree by research in microbiology, immunology, or a related discipline, with a proven research track record. They should be a self-motivated team player with critical thinking skills. Strong communication skills, along with a good command of spoken and written English, are essential. Experience in flow cytometry, T cell immunology, serology assays, and handling microbial pathogens at biosafety level 2 (BSL2) would be advantageous. The appointee will join a multidisciplinary research team to study the effect of pre-existing immunity to influenza infection and transmission. Enquiries about the duties of the post should be sent to Ms. Amen Yiu at amenyiu@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until October 9, 2026, or until the post is filled, whichever is earlier.

Salary

Competitive salary

Posted

13 Jul 2026

Tenure-Track Assistant Professor in the Department of Sociology

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 536796 Work type: Full-time Department: Department of Sociology (30400) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Assistant Professor in the Department of Sociology (Ref.: 536796), to commence in January 2027 or as soon as possible thereafter, 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. Applicants who have responded to the previous advertisement (Ref: 534202) need not re-apply. The Department of Sociology was founded in 1967 as the first sociology department in Hong Kong. It is based within the Faculty of Social Sciences and encompasses sociology, demography, criminology, and anthropology, fostering an interdisciplinary approach to the study of social issues anywhere in the world. The Department has strong traditions in qualitative research, particularly ethnographic and participatory methods, and has expanded its expertise in quantitative research, social statistics and demography. The 2026 QS World University Ranking rated the Department the 24th among the world’s top 200 universities in the subject of sociology. The Department offers a range of innovative and engaging taught programmes, including undergraduate major/minor programmes in Sociology, Criminology, and Media & Cultural Studies. In addition to research postgraduate degrees, it also offers three taught postgraduate programmes in Sociology, Criminology, and Media, Culture and Creative Cities. Its faculty, research postgraduate students and post-doctoral fellows, are actively engaged in cutting-edge research and excel in producing excellent scholarly research in the social sciences. The Department is also home to the HKU Anthropology Research Network. Information about the Department can be obtained at https://sociology.hku.hk. Applicants should possess a Ph.D. degree in Sociology, Criminology, Anthropology or a related field, and demonstrate a strong commitment to excellence in research, teaching, and academic leadership. Those who are specialised in cybercrime and/or digital harm, with a research background on issues such as surveillance, digital victimology, misinformation, artificial intelligence and crime, and financial crimes (such as online fraud and money laundering) are particularly welcome. A solid research track record in complementing digital methods with theory-driven and empirically grounded work on these topics is an advantage. The appointee is expected to publish research, teach at the undergraduate and postgraduate levels, supervise students at graduate and undergraduate levels, and take on service/administrative responsibilities. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At the 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, totaling up to 15% of the basic salary. Housing benefits will be provided as applicable. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload (1) a cover letter, (2) an up-to-date CV with the contact information of three referees, (3) graduate transcripts and certificates, (4) one writing sample, (5) a research plan (two pages), (6) a teaching statement (also two pages) and teaching evaluations, and (7) outlines of two proposed undergraduate courses. Review of applications will start as soon as possible and continue until September 30, 2026, or until the post is filled, whichever is earlier.

Salary

Competitive salary

Posted

13 Jul 2026

Lecturer in Bioscience (Foundation Year)

UNIVERSITY OF EAST LONDON

University of East London

United Kingdom, London

institution

University of East London

United Kingdom, London


Location Stratford Campus Salary £46,471 to £51,606 per annum inclusive of London Weighting Post Type Part Time Hours per Week 21.6 Post Type Permanent Closing Date Monday 27 July 2026 Interview Date Monday 10 August 2026 Reference 1334-26-A Lecturer in Bioscience (Foundation Year), Part-time, 0.6 FTE Location Stratford Campus Salary  £46,472 to £51,607  FTE per annum inclusive of London Weighting Post Type  Part Time (0.6 FTE, 3 days a week) Hours per Week  21.6 Post Type Permanent THE UNIVERSITY OF EAST LONDON Founded in 1898, we at the University of East London (UEL) are proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future. But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us craft our future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for creating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo. About Us The University of East London is one of the most diverse and vibrant universities in the global capital. Our pioneering and forward-thinking vision is making a positive and significant impact on the communities we serve, inspiring both our staff and students to reach their full potential.  Based at our Stratford campus, the School of Health, Sport and Bioscience brings together UEL’s innovative research and teaching. We have a successful and expanding portfolio of taught undergraduate and postgraduate programmes. About the Job We are seeking to appoint a part-time (0.6 FTE; 3 days per week) Lecturer in Bioscience (Foundation Year) to join our dynamic team in the Department of Bioscience on a permanent basis. The successful candidate will contribute to the delivery of teaching on our Foundation Year (Level 3) modules in bioscience, primarily across chemistry, biology, foundation mathematics, communication, professional and study skills. The role will also include the supervision of student research projects within the biosciences. Applicants should hold a good honours degree and a Master’s degree in Biological or Chemical Sciences, or a closely related bioscience discipline. Experience of teaching and/or supervising students in the further or higher education sector is essential, alongside a strong commitment to enhancing the student experience. A PhD (or equivalent qualification) in a relevant bioscience discipline is desirable but not essential. This role would be particularly suitable for candidates currently working in further education in the UK in biosciences, applied sciences or related disciples who are seeking to transition into the higher education sector, gain experience of teaching in a university environment, or undertake a secondment to support their academic career development. It may also appeal to individuals seeking a part-time academic role alongside other professional or personal commitments. Interested candidates are encouraged to contact Dr Mukhlesur Rahman, Subject Area Lead in the Department of Bioscience for any queries or informal discussion about this appointment, m.rahman@uel.ac.uk Benefits Package Here at UEL we understand it’s about more than just a salary. It’s about the entire package on offer along with our outstanding work environment and inclusive culture. We know the market rates for this vacancy and will offer a genuinely competitive salary DOE. We care deeply about your wellbeing and our benefits includes: 20% pension (4% from you, 16% from us), 25 days holiday (plus 3 days over Christmas) plus bank holidays, hybrid working for most positions, and we’re always open to consider flexible working arrangements. We have a subsidised gym membership, 3 times base salary life assurance, a cashback healthcare scheme and wide variety of other generous benefits including discounts on: Apple and Samsung products, holidays, clothing, fitness, lifestyle, dining out and weekly shopping. Equal Opportunities As an inclusive, equal-opportunities employer, our Stonewall membership and Athena Swan awards reflect our ongoing dedication to Equality, Diversity and Inclusion and we’re committed to closing the "diversity pay gap". We’re proud of the progress we’ve made and honest that there’s more to do. We’re determined to keep moving forward so everyone at UEL can thrive. So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and commit to success, we want you to apply today! Further Details Job Description & Person Specification To contact the recruitment team please phone +44 20 8223 3000 x 4600 or e-mail jobs@uel.ac.uk CVs without a completed application form will not be accepted. At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.

Salary

£46,472 to £51,607 FTE per annum inclusive of London Weighting

Posted

13 Jul 2026

Operations Manager

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


About RoboPrecinct@PDD SmartPrecinct@PDD initiative aims to develop a precinct-scale robotics and embodied AI ecosystem at Punggol Digital District (PDD). The programme establishes shared digital infrastructure, regulatory frameworks (including cybersecurity and safety), embodied AI capabilities, industry collaborations, and real-world test-bedding environments to enable safe and scaled deployment of robots in PDD. The Operations Manager will support the day-to-day operations of the Programme, ensuring effective coordination, administrative support, and smooth execution of programme activities. Key Responsibilities Programme operations and administration Provide operational and administrative support for SmartPrecinct@PDD activities as well as related SIT-company joint programmes. Prepare meeting materials, minutes, and programme documentation. Maintain programme documentation and information repositories. Resource management Manage procurement processes for programme-related services, equipment, and operational needs. Coordinate budget tracking and administrative processes related to programme expenditures. Logistics and secretariat support Coordinate meetings, workshops, business trips and other events related to the programme. Provide secretariat support for programme governance meetings and committees. Requirements Bachelor’s degree in business administration, engineering, or related disciplines. 3–5 years of relevant experience in operations management. Experience in administrative support such as procurement, event coordination, and programme documentation. Strong organisational and multitasking skills. Proficiency in office productivity tools. Good written and verbal communication skills. *Note: The incumbent will be appointed as Research Engineer/Research Fellow if successful.

Salary

Competitive

Posted

13 Jul 2026

Doctoral Researcher (PhD student) in Machine Learning

AALTO UNIVERSITY

Aalto University

Finland

institution

Aalto University

Finland


A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 16 000 students and 5 200 employees, including 446 professors. Our campus is in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians The ELPH-ML project, led by Dr. Ransell D'Souza at the Department of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, are jointly hiring a Doctoral Researcher. In this position, you will work on a project funded by the Research Council of Finland to build a machine learning framework linking electron–phonon interactions, Wannier-based Hamiltonians, and phonon properties for functional materials. You will work under the supervision of the Principal Investigator, Dr. Ransell D'Souza, and collaborate closely with Prof. Miguel Caro's group, whose core expertise is the development of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science. Together, you will help advance a key scientific discipline that directly impacts important technological and societal topics such as thermoelectric energy harvesting and next-generation gas sensors. The project has access to state-of-the-art supercomputing facilities (CSC's Puhti, Mahti, and LUMI) and is well integrated within the international electronic-structure and machine learning communities. Informal inquiries about the position can be directed to Ransell D'Souza (rdsouza@sissa.it). Please read the description below in full before directly contacting us by email. Your role and goals You will develop data-driven and machine learning workflows to predict Wannier Hamiltonians, phonon properties, and electron–phonon coupling in layered transition-metal dichalcogenides (TMDCs) such as MoS₂, WS₂, MoSe₂, WSe₂, and WTe₂. For training the machine learning models, you will generate datasets from electronic structure theory calculations using Quantum ESPRESSO, Wannier90, and EPW. You will apply the developed E(3)-equivariant AI framework to quantify band-convergence effects on thermoelectric transport (Seebeck coefficient, conductivity, ZT) and to model gas adsorption effects (NH₃, CO, CO₂) relevant to next-generation 2D gas sensors. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with experimental collaborators. The position is part of the Research Council of Finland project ELPH-ML (https://research.fi/en/results/funding/88752). In combination with academic development courses at Aalto University, we will help you grow a competitive and international career profile. Your experience and ambitions We welcome candidates with a Master's degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, electron–phonon physics, and machine learning. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science. To succeed in this role, you should have: A Master’s degree (or equivalent*) in Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related field. (*You are required to have a degree that would allow you to enroll for a PhD program in the granting institution, e.g., a 1st hons BSc in the UK is also eligible.) Prior programming experience, especially with Python. While you are not expected to be an expert programmer, some hands-on experience in programming is mandatory. Note that it will be entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in atomistic simulations, machine learning and scientific method and software development. Proficiency in English (written and spoken). (Preferred) Experience with any of the following: Electronic structure software (e.g., Quantum ESPRESSO). Molecular dynamics packages (e.g., LAMMPS). Machine learning interatomic potentials (e.g., GAP, MACE, NequIP ). Machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch, and e3nn_jax. If you have experience with other types of modeling tools (e.g., Boltzmann transport solvers, phonon codes like Phono3py/ShengBTE), please state it in your cover letter. Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Chemical Engineering as specified at Aalto Doctoral Programme in Chemical Engineering | Aalto University. If you feel you are interested and qualified for the position but are concerned about not fulfilling all the criteria, still feel free to apply. Take a look at this article in Forbes. What we offer Aalto’s Department of Chemistry and Materials Science is a leading research environment in Finland for computational chemistry and materials science, with four groups specializing in different branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years and during the first 6 months you must apply and receive a right to study in the doctoral programme. Aalto University follows the salary system of Finnish universities. The starting salary for Doctoral Researchers is 3142,65€ / month (gross). The contract includes Aalto University occupational healthcare benefits. The position will be filled as soon as a suitable candidate is identified. The starting date for the position is in the autumn 2026, but the exact date can be agreed with the selected candidate. The primary workplace will be the Otaniemi Campus at Aalto University. Ready to apply? To apply for the position, please submit your application no later than 31.08.2026 including the attachments mentioned below as one single PDF document in English through the link ’Apply now’ link at the bottom of the web page. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions. Letter of motivation (max 1 page): Include your name and email. Briefly motivate your interest in the position and explain how/to what extent you fulfill the requirements. Briefly mention any prior research experience you may have. Please, do not use ChatGPT or similar tools to prepare your cover letter for you. CV including list of publications (max 2 pages): personal and academic information, list of skills, projects, etc. Lying on your CV is immediate grounds for disqualification. If you are invited for an interview, you will be asked about information provided here. If you are eventually offered the position, you will be asked for a transcript of academic records. Contact details of at least two referees (or letters of recommendation, if already available) Applications sent via email will not be considered; only submissions through the online recruitment system are accepted. Questions about the vacancy may be directed via email to Dr. Ransell D'Souza rdsouza@sissa.it or Prof. Miguel Caro miguel.caro@aalto.fi. Please contact primarily project PI, D'Souza. Contact Prof. Caro only if Dr. D'Souza can’t be reached. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

Salary

3142,65€ / month (gross)

Posted

13 Jul 2026

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