University of Atacama

Role type: Full Time, Fixed Term for 2 yearsFaculty: Faculty of ScienceSchool: School of Mathematics and StatisticsSalary: Academic Level A.6 - $110,319 p.a. plus 17% superPioneer quantum-omics method development in a leading statistical biology lab / shape your independent research profile and publication record / collaborate across QUBIC, Melbourne Integrative Genomics and global interdisciplinary partners.Apply now to drive rigorous, high-impact statistical omics research and shape quantum-enabled analysis of biological systems.Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunityYou will lead statistical and computational methods development for high-dimensional omics and cell-level data at the quantum-biology interface. You will design reproducible software, publish internationally, and build collaborations across QUBIC, Melbourne Integrative Genomics and beyond. What you will deliver:Lead development, evaluation and benchmarking of statistical and quantum-inspired methods for high-dimensional omics and cell-based data.Develop and maintain reproducible research software, workflows and documentation using robust version control and good coding practices.Collaborate with QUBIC partners and interdisciplinary researchers to translate new methods into applied analyses and usable tools.Contribute to funding proposals, project reporting, seminars and conferences that disseminate findings and strengthen collaborations.Support supervision of students and junior researchers, and engage in School and QUBIC service and outreach activities.You may be a great fit if you:Hold a PhD in statistics, computational biology, quantum computing, or a closely related quantitative discipline.Demonstrate research strength in statistical methods development for high-dimensional omics, ideally including single-cell or cell-based data.Possess hands-on experience analysing large biological datasets, from preprocessing and quality control to interpretation of results.Use GitHub or similar platforms for version control, with an active profile showcasing ongoing code development.Show interest or experience in quantum-inspired or quantum computing methods relevant to data analysis and modelling.Thrive in multidisciplinary teams, managing multiple tasks and timelines while communicating clearly with diverse collaborators.For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:Build future financial security with 17% superannuationSupportive flexible work arrangements underpinned by our commitment to inclusion and well-beingCareer development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn LearningProgressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leaveSalary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company Health and well-being services including a leading Employee Assistance ProgramFor more information check out our benefits page! Your new team - "L Cao Lab, Melbourne Integrative Genomics (MIG)"You will join the L Cao Lab within Melbourne Integrative Genomics in the School of Mathematics and Statistics. This interdisciplinary centre applies advanced maths, statistics and computing to omics data, tackling frontier biological questions. You will work alongside 50+ researchers and QUBIC partners, benefiting from strong collaborations and world-class infrastructure. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials:Visit "apply with us" to learn more about the process, including tips and FAQs.This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process.A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.Please upload your resume and a cover letter outlining your interest and experience as part of the application process.Please upload your responses to the following Selection Criteria:PhD (or equivalent) in statistics, computational biology, quantum computing, or a closely related discipline.Demonstrated research capability in statistical methods development for high-dimensional omics data (ideally including cell analysis), evidenced through PhD work and associated outputs (for example publications, preprints, software, or technical reports), relative to opportunity.Demonstrated experience in analysing high-dimensional biological data, including appropriate preprocessing, quality control, and interpretation of results.Demonstrated experience in version control on Github and an active GitHub profile evidencing ongoing code development and/or contributions.Want to know more?For queries related to this specific position and for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.auFor recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').Apply today, and join a community that's shaping the future.Applications close: 10 July 2026 11:55 PM; Melbourne time zone.Position Description: JR-009383 Research Fellow Quantum Omics_PD.docx JR-009383 Research Fellow Quantum Omics_PD.pdf

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Asset Pricing. Candidates must hold a PhD in this field or a closely related field and have a strong background in research. Relevant international experience is of advantage. The successful candidate will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach graduate courses in MBA and Master of Global Finance and Economics programs, and undergraduate courses in Business Administration and Finance and Accounting. The expected workload for the in-class lecture conduction is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, and comprises lectures on the following modules: Finance 2 at the level of texts such as Options, Futures, and Other Derivatives by Hull (https://www.pearson.com/us/higher-education/product/Hull-Options-Futures-and-Other-Derivatives-9th-Edition/9780133456318.html). Advanced Fundamentals of Asset Pricing topics such as term structure of interest rates, bond pricing, credit and liquidity risk, portfolio theory, equity valuation, hedging. Advanced Topics in Asset Pricing such as Behavioral Finance; Big-Data-Based Personal Finance; Computational Finance; Credit Risk Derivatives; Hedge Funds; Investment and Pension Finance; Real Estate Finance; Risk Management of Insurance Companies. Lecturer is invited to propose semi-elective courses within his/her expertise and in line with the curriculum of the programs. The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may requires conducting relevant laboratory activities and/or advising student projects. The holder of this job is also responsible for supervising bachelor’s and master’s theses and mentoring Ph.D. students. Research Responsibilities As a faculty member of a research-oriented university, the successful candidate is expected to significantly contribute to the scientific profile of VGU through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of Finance, Economics and Management. The ability to apply and generate externally funded research projects is highly desirable. Administrative responsibilities The successful candidate is expected to contribute to the development of the bachelor’s and master’s programs by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Goethe University Frankfurt. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Economics and Management and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a Ph.D. in Finance or a closely related field, preferably from a well-known international university. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include: An outstanding academic record with a focus on Finance or other areas closely related to it Proven expertise in Asset Pricing. Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area Proven teaching experience with strong self-motivation combined with a passion for teaching and research Experience in industry is of advantage Proven excellent English proficiency: Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above. Employment benefits The successful candidate will become part of a professional and interdisciplinary group of faculty and have access to state-of-the-art laboratories. VGU supports its lecturers with attractive start-up endowments for quality research projects. VGU also supports participation in national and international conferences and the publishing of research papers. VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students. Native English speakers (e.g. from the United States, the United Kingdom, the Republic of Ireland, South Africa, Australia, Canada or New Zealand) do not have to submit an English proficiency certificate if the interviewers are satisfied with the interviewees English level at the time of interview. Further information, e.g., regarding the appointment procedure, the competitive salary and research activities can be downloaded here. Application To apply please send your application (with the following documents in one PDF max. size: 10 MB) to academicpositions@vgu.edu.vn with subject line “Asset Pricing _[Your Name]” Your application should include: Form for basic information (Please download, complete this form electronically and submit it together with your application) A cover letter stating your interest in joining VGU Curriculum Vitae (including list of publications) Scans of university degrees, university transcripts and other relevant certificates Scans of language certificates (if applicable) References illustrating your professional and academic career, including contact details of references (if available, highly appreciated) Evaluation results for teaching (if available) All applications will be reviewed and evaluated by VGU's international Application Review Team. For further information, please contact: Dr. Lars Pilz (FA and BA Academic Director) at lpilz@wiwi.uni-frankfurt.de, Dr. LE Van Ha (BA Academic Coordinator) at ha.lv@vgu.edu.vn, or Dr. LE Minh Hanh (FA Academic Coordinator) at hanh.lm@vgu.edu.vn. About us The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region. VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures. As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.

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 39 Faculty of Computer Science Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.06.2030 Reference no.: 5729 Your personal sphere of influence: The research group Data Mining and Machine Learning at the Faculty of Computer Science is looking for highly motivated research assistant, PhD candidate. We are offering an excellent working environment in a young, creative and international team. As a member of the Data Mining team, under the supervision of Assoz. Prof. Christian Böhm, you will contribute to fascinating data mining projects offering the possibility to take over responsibility at an early stage, to publish the results at leading international conferences and to exchange ideas with international and interdisciplinary cooperation partners. We provide intensive support during course of your dissertation. Your future tasks: You actively participate in research, teaching & administration, which means: Participation in research projects / research studies Participation in publications / academic articles / presentations We expect you to finalize your dissertation agreement within 12 months. You work on your dissertation and its completion. Participation in teaching and independent teaching of courses as defined by the collective agreement Supervision of student´s project´s and theses Involvement in the organization of meetings, conferences, symposiums Involvement in the department administration as well as in teaching and research administration The research should focus on clustering methods, especially deep clustering and representation learning for complex and high-dimensional data. This is part of your personality: Bachelor's and master's degree, both in Computer Science with excellent marks. Excellent command of English Very good mathematical understanding Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python Strong ability to work in teams Perseverance and ability to make things done High motivation to publish at the top-level conferences Willingness to travel, including participation in national and international conferences Basic experience in academic writing and with research methods Didactic competences / experience with e-learning Desireable knowledge: You should be a team player with high social skills Experience in eye-tracking applications for the analysis of dyslexia. Experience with clustering, representation learning, deep learning. Experience with applications of data mining methods to real data from various domains. Experience in university teaching Experience in scientific writing International experience What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. 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 is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Tenure: 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 all: We welcome every additional/new personality to the team! It is that easy to apply: Scientific curriculum vitae Letter of motivation including project ideas Abstract of Master's Thesis Master´s Degree / Diploma, Degree Certificates Transcript of records of BSc- and MSc studies List of publications, evidence of teaching experience (if available) If you have any content questions, please contact: Christian Böhm christian.boehm@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: 06/16/2026 Prae Doc