University of Science and Technology Beijing

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.04.2030 Reference no.: 5504 How can we perform table-top experiments to obtain new insights into the foundations of quantum physics? Can we measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear materials? Such questions are the driving force behind our research. You will be part of our team and develop new ideas, technologies and experiments. Your personal sphere of influence: As a university assistant (PraeDoc) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.-Prof. Dr. Philip Walther. The group is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian Cluster of Excellence quantA. The group’s research combines the development of scalable photonic quantum technology for quantum computing and other quantum information applications with the investigation of fundamental quantum science questions.The main activities range from quantum control of single photons using solid-state photon sources, integrated waveguide technology, tailored nonlinear media and detectors based on superconductor technology to interferometric precision measurements of weak gravitational forces. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on the premises, about 300 quantum researchers in Vienna. The Walther Group unites an international team of scientists who are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student and PhD candidate to postdoc, are working together on mostly experimental topics in small subgroups. Teamwork is a key factor in our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum communication, quantum foundations as well as the quantum-gravity interface. Your future tasks: Active participation in research, teaching & administration, which means: You are involved in a specific and well-funded research project dedicated to experimental quantum optics in 2D materials. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fill some administrative tasks, contributing to the success and self-organization of the group for research, teaching and administration. You will continuously stay informed about the state of the art in your field. You contribute to outreach by publications, conference presentations and public activities. This is part of your personality: You have completed your Master's degree or Diploma in Physics and written your thesis in the field of quantum optics or nonlinear optics in ultra-thin materials. You have experience with table-top experiments, photonic platforms, optical non-linear processes, quantum optics and ultra-thin 2D materials. You have experience in academic writing. You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python, LaTeX. You have excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world. Internal further training & coaching: The Vienna Doctoral School as well as the department of human resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10(40h/w, 14x p.a.) increases if we can credit professional experience. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Your scientific curriculum vitae  A letter of motivation  Your bachelor's and master's degrees Title and abstract of your master's thesis Contact details of 2 references If you have any content questions, please contact: Philip Walther philip.walther@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 04/25/2026  Prae Doc

University of Helsinki, Faculty of Medicine invites applications for the position of  Doctoral Researcher  in the Cancer Data Science group led by Associate Professor Mariike Kuijjer, at the iCAN Flagship in Digital Precision Cancer Medicine at the Faculty of Medicine, University of Helsinki. The position is funded through a project by the Sigrid Jusélius Foundation titled “Regulatory determinants of metastatic progression in high-grade serous ovarian cancer.” The ideal starting date is summer or early fall 2026, but this is flexible and can be discussed. The appointment is a full-time position and is made for a period of three years with possible extension depending on future funding. Our research The Kuijjer group was established in 2018 at the University of Oslo and expanded to the University of Helsinki in 2025. The group focuses on developing computational and data science approaches to increase our understanding of gene regulation and how rewiring of gene regulatory networks can influence cancer development, progression, and disease heterogeneity. The group's current projects use network science and artificial intelligence to develop tools that (i) integrate multi-modal data, (ii) model gene regulation at increased genomic and cellular resolution, (iii) refine the analysis of genome-wide regulatory networks. The group applies these tools to study various cancer types, including ovarian cancer. For more information, visit kuijjerlab.org. About the roleThe advertised project aims to identify regulatory determinants of ovarian cancer progression through regulatory network modeling and analysis. The selected candidate will apply and extend network modeling approaches developed in the Kuijjer group to model patient- and cell type-specific gene regulatory networks using bulk and single-cell ovarian cancer data. These networks will be analyzed to define patient-specific regulatory heterogeneity in primary ovarian cancer, identify regulatory rewiring that drives metastatic progression, characterize the regulatory mechanisms modulated by therapeutic pressure, and assess how these programs relate to therapy response. The project will leverage various publicly available datasets as well as data from the in-house Oncosys-OVA study led by our collaborator Prof. Anniina Färkkilä, University of Helsinki. Overall, the project combines methodological development with biological discovery, offering opportunities to contribute both to computational innovation and to mechanistic insights into ovarian cancer progression. The candidate We seek a highly motivated candidate with strong computational skills in the field of high-throughput omics data analysis, comparative genomics, functional genomics, or related fields. The candidate is excited about applying computational tools to answer questions in cancer research. They are collaborative and creative, and have strong programming skills dedicated to the analysis of large-scale genomics data. Experience with the analysis of omics data is required for this position. Knowledge of cancer biology is a strong advantage. Experience with high-performance computing, genomic data integration, biological network analysis, and/or gene regulation is desirable, but not required.  The position is open to applicants with a Master's degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields. Candidates who are finishing their Master's thesis are also welcome to apply. They should mention the expected date of their defense and steps that need to be completed to finish their thesis in the cover letter. Qualification requirements Master's degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or a related field. Applicants with a background in biology or (bio)medicine are welcome to apply, provided they have documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis of high-throughput omics data is required Knowledge of cancer biology is a strong advantage Experience with genomic data integration, biological network analysis, and/or gene regulation is an advantage Experience with high-performance computing is desirable Strong analytical and problem-solving skills Teamwork skills and the willingness to collaborate, share ideas, and contribute to a multidisciplinary research environment spanning Helsinki and Oslo Strong communication skills in English, with both written and verbal proficiency The appointee should either already have the right to pursue a doctoral degree at the University of Helsinki by the start of the appointment or apply for the right and obtain it within the probationary period of six months of their appointment. If the candidate does not already have the right to pursue a doctoral degree at the University of Helsinki, it must be applied for separately: www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell. The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents. The chosen applicant is expected to reside in Finland while employed by the University of Helsinki.What we offer A salary of 2600 – 2800 €/month depending on the candidate's qualifications A professional, stimulating working environment The University of Helsinki also offers comprehensive services to its employees, including occupational health care and health insurance, unemployment and pension fund, a generous holiday package, sports facilities, and opportunities for professional development: https://www.helsinki.fi/en/about-us/careers. How to apply Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button. Internal applicants (i.e., current employees of the University of Helsinki) submit their applications by using the Employee Login button. The application must include: A cover letter, stating your motivation, scientific background, documented experience with large-scale genomic analyses, and research interests A detailed CV with a list of publications and other research output, if applicable 2-3 references (name, institution, e-mail, telephone number, and relation to the candidate) These should be uploaded in .pdf format. Applicants may also upload their Master’s thesis or other representative research work, if available. Please submit your application through the web-based recruitment system linked in the announcement. Although the recruitment system includes a basic CV, we ask candidates to also include a separate, detailed CV in .pdf format with their application. Applications without a cover letter and/or detailed CV will not be considered further.  The closing date for applications is 31.5.2026. Inquiries about the position can be directed to Mariike Kuijjer: mariike.kuijjer@helsinki.fi. If you need technical support with the recruitment system or additional information about the application process, please contact HelsinkiUni Help, uni-help@helsinki.fi.  About us The University of Helsinki (UH), founded in 1640, is a vibrant scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities and ranks among the top 100 international universities in the world. It is currently investing heavily in life sciences research. UH offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development.  The Faculty of Medicine promotes high quality scientific research. It provides research-based undergraduate and postgraduate education in medicine, dentistry, psychology and logopedics, and an international Master's Program in Translational Medicine. It also offers psychotherapist education. In addition to its teaching and research activities, the Faculty serves as a significant expert organization in the healthcare sector and contributes to the discourse on ethics in the field. The Faculty aims to be one of the best medical research faculties in the world, while rein-forcing its status as a distinguished institution of multidisciplinary education in healthcare.  The Faculty of Medicine at the University of Helsinki constitutes the academic medical center together with HUS Helsinki University Hospital and the Helsinki Institute of Life Science (HiLIFE). This medical center has been successful in international comparisons, ranking among the top 10 medical campuses in Europe and the top 50 globally. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers

Join the Department of Psychological Sciences in 2026 Full-time, ongoing position at our Hawthorn campus Academic Level C/D + 17% super and staff benefits About the Role We are seeking an outstanding academic to join our Department of Psychological Sciences within as a Senior Lecturer (Level C) or Associate Professor (Level D) to contribute and provide academic and professional leadership across Swinburne’s psychology programs, with a particular focus on advancing high-quality teaching, professional training, and research within the Master of Psychology (Educational and Developmental Psychology) and other postgraduate psychology courses. In this role, you will contribute to or lead excellence in teaching through evidence-based pedagogy; curriculum innovation; clinical supervision; and the ongoing development and delivery of the Master of Psychology (Educational and Developmental Psychology). You will contribute to internal and external accreditation processes and support staff capability building, promote high-quality and consistent learning experiences for students, and contribute to Departmental and School initiatives and strategic priorities. As the Senior Lecturer/Associate Professor, you will also be expected to lead an innovative and impactful research program. This will include producing high-quality scholarly outputs, supervising HDR students and developing and managing industry partnerships that strengthen the Department’s and School’s research profile. At Level D, the role carries a stronger emphasis on academic leadership, staff mentoring, research leadership, and strategic contribution to teaching, research, and professional practice across the Department and School. *Please click on the links below to view the position descriptions.  About You To be suitable for this role you will need to have experience in the below key accountabilities:  Demonstrated experience teaching in a University setting (Level C) Demonstrated excellence in University teaching, curriculum development, and clinical supervision (Level D) Evidence of successful leadership in academic or professional settings (Level D) A track record of publications and a demonstrated commitment to ongoing research activities. Demonstrated ability to work effectively and collaboratively within multidisciplinary academic teams. High-level interpersonal, professional, and written communication skills. Qualifications A Doctoral degree (PhD or DPsych). Registration with AHPRA with specialist endorsement in Educational and Developmental Psychology. Board-approved supervisor status with the Psychology Board of Australia About Swinburne University of Technology  Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university proposition in education and research. Our Ad Astra strategy is the cornerstone of Swinburne’s bold ambition to lead globally in technology-driven education and research. This strategy positions us to create transformative solutions, empower learners, and partner with industry to thrive in an ever-changing world. What We Offer You! Work your way with flexible working arrangements, including hybrid options and generous parental leave to support a balanced lifestyle.  Exclusive staff discounts, including discounted Medibank health insurance, 50% off Swinburne courses and other partner offers. Swinburne offers 17% super and salary packaging options, including car leasing and extra super contributions. Want to learn more? Head over to our benefits page! To Apply Please submit your CV, Cover Letter and Responses to the Key Selection Criteria. To review the Position Description and to apply, please scroll down to the bottom of the page.  If you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to Swinburne’s Jobs website to access the Position Description at the bottom of the page. Please Note: Appointment to this position is subject to passing a Working with Children Check.  If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on talentacquisition@swin.edu.au  Applications Close: Sunday, 10 May 2026 at 11:30pm.  Swinburne offers flexible working options contained in our leave and parenting/carer policies to support work-life balance. Diversity, Equity and Inclusion Swinburne has become a world-class university, driving social and economic impacts through science, technology, and innovation. As a dual-sector university, our vision is for people and technology working together to build a better world. Central to our vision is our commitment to diversity, equity, and inclusion. We pride ourselves on being an equal opportunity employer focused on attracting, retaining, and developing great talent. We work to remove barriers related to gender identity, culture, ethnicity, sexual orientation, disability, and age. We strongly encourage applicants from diverse Aboriginal and Torres Strait Islander communities. Our Moondani Toombadool Centre leads our Indigenous education and culture at Swinburne, guided by community wisdom and leadership. We support applicants with disabilities. Adjustments can be requested at any time during the recruitment process. For Reasonable Adjustment requests, including accessible formats for the PD, application form or any other document, please contact at DCR@swin.edu.au or call +61 3 9214 3550. Please note the above number and DCR email address are for disability or reasonable adjustments queries only. General enquiries about the role can be sent to talentacquisition@swin.edu.au (general enquiries will not be answered by phone). Victoria’s Commitment to Action: Improving international student employment outcomes. As a signatory to Victoria’s Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates. As a Circle Back Initiative Employer, we commit to responding to every applicant. #LI-SW Position Description - Senior Lecturer, Psychology (Level C) Position Description - Associate Professor, Psychology (Level D) How to apply: Start your application by clicking the "begin" button. Login to an existing account or reset your password View our FAQ section View Hints & Tips to help with your application Preview Application Form By choosing to continue, you agree to the privacy policy. Show Privacy Policy