Montgomery College

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

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

We are seeking an outstanding Research Fellow to join an ambitious translational oncology programme focused on improving precision treatment approaches for patients with gastrointestinal cancers. This funded programme brings together laboratory scientists, clinicians, and molecular researchers to develop clinically relevant approaches for understanding therapeutic response and resistance in cancer. The post offers a rare opportunity to contribute to a highly translational initiative operating at the interface of discovery science and patient care. The successful candidate will play a central role in shaping experimental strategy, generating clinically relevant biological insights, and supporting the progression of the programme towards future clinical application. This is not a conventional postdoctoral role centred on a predefined set of experiments. It is an opportunity to contribute to the development of an evolving translational research platform with clear real-world relevance. The Role The Research Fellow will contribute to the scientific and translational development of the programme, including: developing and optimising advanced experimental cancer models  leading functional studies examining therapeutic response and resistance  integrating biological and molecular data to support translational interpretation  contributing to clinically relevant reporting and communication of findings  supporting regulatory, governance, and translational preparation activities  helping shape experimental direction in collaboration with clinical and scientific investigators  The role requires a high degree of scientific independence, critical thinking, and translational judgement. What we are looking for We are seeking an individual with strong experimental expertise and an interest in clinically relevant cancer research. Essential: PhD (or equivalent) in cancer biology or a related discipline  Strong background in experimental oncology or cellular/molecular biology  Experience developing or optimising complex biological assays or model systems  Ability to interpret multifaceted biological data critically  Excellent communication and organisational skills  Evidence of scientific writing and publication  Desirable: Experience working with translational or clinically aligned research programmes  Familiarity with cancer therapeutics, resistance biology, or tumour modelling  Experience integrating molecular and functional datasets  Understanding of research governance, ethics, or regulatory frameworks  Experience working within multidisciplinary environments The Environment The successful candidate will join a collaborative multidisciplinary research environment spanning: translational cancer biology  clinical oncology and surgery  molecular profiling and computational analysis  The programme provides access to established infrastructure, high-quality clinical material, and strong translational support across Southampton and partner clinical centres. Why this role is different This position offers the opportunity to work within a genuinely translational programme designed with future clinical application in mind. You will contribute not only to experimental delivery, but also to the development of approaches capable of bridging laboratory discovery and clinical decision-making. The role is particularly suited to candidates interested in: translational cancer research  clinically impactful science  multidisciplinary programme development  future leadership in translational oncology  Career Development The post provides excellent opportunities for career progression and scientific development, including exposure to: translational programme leadership  multidisciplinary clinical–scientific collaboration  clinically aligned research strategy  future grant and fellowship development Informal enquiries For informal discussion of the role, please contact the Innovation for Translation Research Group leads: Professor Zoë Walters (Z.S.Walters@soton.ac.uk) Professor Tim Underwood (T.J.Underwood@soton.ac.uk)