Ilam University of Medical Sciences
About Ilam University of Medical Sciences
Basic information and contact details for Ilam University of Medical Sciences
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Key Student Statistics
A breakdown of student statistics at Ilam University of Medical Sciences
- Student gender ratio
- 54 F : 46 M (1)
- International student percentage
- 8% (1)
- Students per staff
- 12.9 (1)
- Student total
- 3024 (1)
Based on data collected for the (1) World University Rankings 2026
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University Assistants Predoctoral (Group "Algorithms and Optimization")
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an 2 University assistants predoctoral (group "Algorithms and Optimization") 39 Faculty of Computer Science| Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5797 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 nonextension declaration. Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Ihr persönlicher Spielraum: This position is part of the “Algorithms and Optimization” group, led by Prof. Gramoz Goranci, within the “Theory and Applications of Algorithms’”research group at the Faculty of Computer Science. Our research focuses broadly on algorithm design and its connections to optimization, graph theory, and the foundations of machine learning. Recent work has centered on developing fast, dynamic algorithms for both classical and emerging large-scale problems, with an emphasis on rigorous theoretical guarantees and, in some cases, high-performance implementations. We draw on techniques from combinatorial data structures, graph algorithms, spectral graph theory, and metric embeddings, combining these tools to address fundamental challenges in modern algorithm design. More information about us can be found at https://taa.cs.univie.ac.at/ Your future tasks: You actively contribute to research, teaching, and administration, which includes the following: Conduct independent research and contribute to research projects in teams Prepare manuscripts for publications at conferences and journals, including presentation of results at conferences Finalisation of your dissertation agreement within 12-18 months Contribution to lectures and exercise classes as well as independently held courses within the scope of the provisions of the collective bargaining agreement Supervision of students Involvement in the organization of meetings, conferences, and symposiums Involvement in the department administration as well as in teaching and research Requirements: Completed Master’s degree or Diploma in the field of Computer Science or Mathematics, or a related discipline Excellent prior knowledge in design and analysis of algorithms (can be documented through coursework) or master’s thesis work Experience in Academic Writing High ability to express yourself both orally and in writing Excellent command of written and spoken English Ability to work in a team High written and spoken articulateness Very good command of written and spoken English IT user skills Additionally, the following skills would be desirable: Teaching experience Documented research experience in algorithm design or theoretical computer science (e.g., through publications) Knowledge of university processes and structures Study experience abroad 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 monthly gross salary of EUR 3.776,10 (on the basis of 40h employment, 14 monthly salaries per year) increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: Please submit the following documents in English: Cover Letter, focusing on your fit for the advertised position and your expertise in relevant research areas (max 1 page) CV Master's thesis (if already finished, otherwise Bachelor's thesis) Study transcripts and degree certificates List of publications, evidence of teaching experience (if available) Apply through our job portal / Apply now - button If you have any questions, please contact: Gramoz Goranci gramoz.goranci@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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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: 06/29/2026 Prae Doc
Salary
EUR 3.776,10 (on the basis of 40h employment, 14 monthly salaries per year)
Posted
10 Jun 2026
University Assistant Predoctoral, Law
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral 34 Faculty of Law Startdate: 15.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5717 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Department of Commercial und Business Law is looking for a University assistant predoctoral with an interest in commercial law, especially competition and antitrust law issues, to support teaching and research. The Department is part of the Faculty of Law. The Department is responsible for teaching and research in the field of commercial and business law. As a University assistant predoctoral you will complement the team of Univ.-Prof. Dr. Jannik Otto. Your tasks will include active participation in teaching as well as in research and publication projects. Place of work: Faculty of Law, Department of Commercial and Business Law (Univ.-Prof. Dr. Jannik Otto), Juridicum, Schottenbastei 10-16, 1010 Vienna. The position is advertised for 4 years, whereby the employment relationship is initially limited to 1.5 years and is automatically extended to a total of 4 years, unless the employer submits a declaration of non-extension after a maximum of 12 month. The position is expected to start on 07/15/2026. Your future tasks: The range of your responsibilities include: Participation in research, teaching and administration Assisting with examination activities Participation in publications and scientific articles Completion of a dissertation agreement within 12-18 months is expected Possibility to write a dissertation Participation in and independent teaching of courses Studental supervision This is part of your personality: Completed degree in law Special interest in competition and antitrust law Above-average academic achievement (at least in the field of civil and commercial law) Excellent computer skills (MS-Office) Experience in working with legal databases Excellent written and spoken German language skills Excellent written and spoken English language skills High level of written and oral communication skills Didactic qualification Ability to work in a team Advantageous: Experience in the academic sector 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. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae Letter of motivation With a brief outline of your research interests and your first ideas for a prospective doctoral project proposal Master Degree/Diploma Degree certificates Via our job portal / Apply now - button If you have any questions, please contact: Monika Mauric monika.mauric@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: 06/29/2026 Prae Doc
Salary
The basic salary of EUR 3.776,10 (on a full-time basis)
Posted
9 Jun 2026
Research Data Governance Strategist
The University of Sydney
Australia, Camperdown
The University of Sydney
Australia, Camperdown
Lead strategy and implementation of research data governance across the University Full-time, 2-year fixed term position Competitive SPS A Base Salary + 17% Superannuation About the opportunity Are you a strategic leader with deep expertise in research data governance, policy, and implementation? We are seeking a Research Data Governance Strategist to lead the development and implementation of the University's Research Data Governance (RDG) Program, in alignment with the RDG Charter and its key scope areas. In this role, you will translate strategic direction into practical, implementable governance frameworks, policy uplift, lifecycle models, and assurance mechanisms. You will provide expert advice to senior stakeholders and governance bodies while driving the delivery of priority initiatives, including risk-based controls, lifecycle integration, and capability uplift across the research community. You will play a critical role in advancing the University's Digital Sydney program of work, contributing to the development of modern, secure, and scalable research data capabilities that support innovation, integrity, and world-class research outcomes. Operating with a high degree of autonomy, this position offers the opportunity to shape how research data is governed, managed, and enabled across the University. Why join us? work at the intersection of research, policy, risk, and digital capability lead a high-impact program shaping research data governance and integrity collaborate with senior stakeholders across faculties and central functions contribute to sector-leading practices aligned with the University's Digital Sydney transformation About the role lead delivery of research data governance workstreams, operationalising governance frameworks, lifecycle controls, and risk-based approaches to support compliance and research integrity develop and implement governance policies, procedures, standards, and reporting mechanisms, supporting phased delivery of RDG initiatives including policy uplift and lifecycle mapping provide expert advice and guidance to senior stakeholders, governance groups, and the research community on data governance obligations, risk mitigation, and best practice collaborate with RDG program team, research data management, integrity, ICT, privacy, cyber security, risk, library, records, and faculties to embed governance requirements into research systems, platforms, and processes support stakeholder engagement, capability uplift, and adoption activities including training, guidance, and enablement for researchers and HDR candidates contribute to program planning, business case development and implementation, resource planning, and continuous improvement, including engagement with external sector bodies and benchmarking activities About you demonstrated experience in a strategy and leadership role, preferably in higher education, developing and implementing policy, governance frameworks, or research data practices strong understanding of research data governance, lifecycle management, compliance requirements, and regulatory environments demonstrated experience in project management and delivery of complex, cross-functional initiatives experience influencing organisational cultural change and driving adoption of new frameworks, policies, or systems proven ability to build and maintain effective working relationships with researchers and stakeholders at all levels strong strategic and operational planning skills, with the ability to translate strategy into practical outcomes well-developed negotiation, influencing, and conflict resolution skills in complex environments demonstrated experience in risk management, including identifying, analysing, and mitigating organisational risks excellent analytical, problem-solving, and decision-making skills, with attention to detail and the ability to think holistically strong communication skills, with the ability to develop clear documentation, reports, and stakeholder-facing materials knowledge of research data reporting requirements, integrity, ethics, and the higher education regulatory landscape postgraduate qualifications or equivalent experience in a relevant discipline To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus. Work Rights Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident. Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the position. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community that reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Nicole Cunningham, Recruitment Operations by email to nicole.cunningham@sydney.edu.au © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Tuesday 16 June 2026 11:59 PM
Salary
Competitive SPS A Base Salary + 17% Superannuation
Posted
10 Jun 2026
Lecturer in Asset Pricing
Vietnamese-German University
Vietnam
Vietnamese-German University
Vietnam
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.
Salary
Competitive
Posted
10 Jun 2026
Assistant Associate Dean, Data Science & AI Discipline
RMIT University
Australia, Melbourne
RMIT University
Australia, Melbourne
Play a pivotal role in providing senior leadership for the Discipline's academic and research performance, strategy, and growth Fixed term (3 year) contract for Assistant Associate Dean underpinned by an ongoing Senior Lecturer/Associate Professor/Professor position Remuneration for Academic Level C ($146,897-169,387) or Academic Level D ($176,883 - $194,868) or Academic Level E ($227,847) About the Role The Assistant Associate Dean (AAD) is a key leadership role within the School of Computing Technologies, offering the opportunity to shape the direction and success of the Data Science & Artificial Intelligence (DSAI) Discipline. Working closely with the Associate Dean, DSAI, and the broader School leadership team, you will provide strategic and people leadership across the Discipline, supporting staff to excel in teaching, research and engagement. You will play an important role in representing the Discipline, fostering a collaborative and high-performing culture, and contributing to the School's ambitions for growth, innovation and impact across education and research. As an accomplished academic leader and recognised researcher in a DSAI-related field, you will bring a strong track record of research excellence, academic leadership and staff development. In this role, you will lead and grow research programs and teams, strengthen a vibrant and inclusive research culture, and build productive collaborations across RMIT and with external partners. You will also contribute meaningfully to teaching and learning, helping to deliver outstanding student outcomes in the discipline. With influence across both the Discipline and the School, you will help shape strategic priorities, contribute to academic governance and committee leadership, and advance the profile and performance of DSAI within RMIT and beyond. To be successful for this position, you will have: Proven academic leadership experience, with the ability to lead teams, build capability and deliver on strategic objectives. An established and respected research profile in a relevant field, with the capacity to lead and promote research excellence. A strong record of innovative teaching and curriculum contribution in a relevant discipline, supported by a sound understanding of contemporary learning and teaching practice. Strong understanding of relevant industry trends, priorities and the evolving higher education landscape. Strategic thinking capability, with the ability to translate organisational priorities into practical actions and outcomes. Highly developed interpersonal, communication, influencing and negotiation skills, with the ability to build strong relationships internally and externally. A collaborative and collegiate approach, with proven ability to work across teams, align stakeholders and achieve shared goals. Demonstrated ability to influence positive change, foster collaboration and promote excellence in teaching, research and academic performance. Qualifications Mandatory: A PhD in a relevant field (i.e., Data Science, AI or Computer Science), with experience, standing and achievements commensurate with appointment at Academic Level C, D or E at RMIT. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the School of Computing Technologies The School of Computing Technologies (SCT) is a globally connected and forward-looking school, recognised for world-class computing research and innovative education in information technology, data science and artificial intelligence. We are committed to shaping the future of technology through distinctive research, industry engagement, and a strong emphasis on diversity, interdisciplinarity and real-world impact. In the 2026 QS World University Rankings by Subject, RMIT was ranked 117 globally for Computer Science and Information Systems, placed in the 51-100 band for Data Science, and ranked 29 for Library and Information Management. The School offers programs across Computer Science, Software Engineering, Data Science, Artificial Intelligence, Cyber Security and Information Technology, and is one of Australia's largest and leading education providers in the field. SCT is a national leader in industry-connected learning across computing, data science and IT. Our undergraduate programs have been redesigned to provide a common foundation in programming, supported by an innovative Bootcamp2Studio model that combines immersive, challenge-based learning with strong industry relevance. This approach equips students with the practical skills, adaptability and confidence to make meaningful contributions in a rapidly evolving technology landscape. The School is led by the Dean, School of Computing Technologies, and has three disciplines: Cyber Security & Software Systems (CSSS) Data Science & Artificial Intelligence (DSAI) Interaction, Technology & Information (ITI) Our PhD students and faculty conduct world leading research in many areas of Computing and Computing applications, including in: Information Interaction and Information Retrieval Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science and Machine Learning Recommendation and Big Data Analysis Cybersecurity Software Engineering Digital Health Computer Science Education Learn more: https://www.rmit.edu.au/about/schools-colleges/computing-technologies To apply, please submit your application via the 'Apply' link below, ensuring you include: CV Covering letter A separate document addressing the Key Selection Criteria for the Assistant Associate Dean, DSAI position For further information about this position, please refer to the Position Description hyperlinked below or contact Professor Jeffrey Chan via jeffrey.chan@rmit.edu.au. For questions about the recruitment process, please contact Jennifer Pham, Senior Talent Acquisition Advisor, via email at Jennifer.pham2@rmit.edu.au or Senior Talent Acquisition Advisor, Bianca Jenkins via email bianca.jenkins@rmit.edu.au. Please do not send your application to these email addresses. Position Description - Assistant Associate Dean, Data Science & AI Discipline (3-Year) Position Description - Professor (ongoing) Position Description - Associate Professor (ongoing) Position Description - Senior Lecturer (ongoing) Please note: if you are viewing this advert on an external site, click 'Apply' and you will be redirected to RMIT's Jobs website, where the Position Description is available at the bottom of the page. Due to recent system upgrades, Position Description links may not function correctly on LinkedIn advertisements. Applications close on Sunday 12 July 2026 at 11.59pm. 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. In line with RMIT University's commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes.All applicants will be required to complete a gender based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence.Preferred candidates will also be required to undertake relevant pre employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT's safety obligations. 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 (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers. We are a Circle Back Initiative Employer - we commit to respond to every applicant.
Salary
$146,897 - $227,847
Posted
9 Jun 2026
Subjects Taught at Ilam University of Medical Sciences
See below for a range of subjects taught at Ilam University of Medical Sciences
Medical and Health
- Medicine and Dentistry
- Other Health