Overview
For Students
Teaching and Research
profile logo default

University of Medicine and Pharmacy Carol Davila

Ranked
sdgs/sdg overall
Sustainability Impact Rated
Romania
801–1000th in World University Rankings 2026
  • About
  • Rankings
  • Impact Rankings
  • Key stats
  • Jobs
  • Subjects
  • Downloads
  • FAQs
  • Suggested universities

About the University of Medicine and Pharmacy Carol Davila

Basic information and contact details for the University of Medicine and Pharmacy Carol Davila

The University of Medicine and Pharmacy Carol Davila is a public health sciences university located in Bucharest, Romania. It was set up in 1869 and is one of the oldest and largest institutions of its kind in Romania. The university is affiliated with the International Association of Universities and the European University Association. The university was originally founded as the National School of Medicine and Pharmacy in collaboration with Carol Davila, a prominent Romanian physician. Over the years, it has grown to become known for its advanced research and education programmes. It offers programmes in medicine and pharmacy, preparing students to become skilled physicians and pharmacists. The university aims to produce highly valued medical professionals who can work in renowned hospitals in Romania and around the world. The university's libraries are housed in neoclassical and neo-baroque buildings, offering extensive resources to its students and staff. It also has access to many clinical hospitals throughout Bucharest for practical training and research. With its focus on academic excellence and international collaboration, Carol Davila University continues to play a significant role in the field of health sciences in Romania and Eastern Europe.

Rankings

Select the type of rankings below to see stats

Impact Rankings

Select the type of ranking below to see stats

Discover similar universities

Find out more about studying, research and jobs at these universities

the colour logo

suggested

Key Student Statistics

A breakdown of student statistics at the University of Medicine and Pharmacy Carol Davila

gender ratio
Student gender ratio
68 F : 32 M (1)
globe fill
International student percentage
17% (1)
student per staff
Students per staff
9.2 (1)
student
Student total
12809 (1)

Based on data collected for the (1) World University Rankings 2026

Jobs you might be interested in

You may want to explore jobs from other universities which are relevant to you

See all

Professional Officer (All Levels) (Chemical Process Engineering)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs. Job Requirements A good degree in Chemical Engineering or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. Track record in project leadership and impactful industry experience in Chemical Process Technology. Deep technical specialist with 10 or more years of working experience in unit operations (e.g. Heat Exchanger, Distillation Column, Reactors, Cooling Tower etc). Practical knowledge of Quality Management Systems and Engineering standards including but not limited to ISO9001, OSHA and BSI etc. Practiced in Chemical Process Design software (for e.g. HYSYS) Proficiency in analytical techniques such as HPLC, GC-MS, LC-MS, ICP-OES, ICP-MS, and related methods, with a focus on biopharmaceutical analysis would be an advantage. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.

Salary

Competitive

Posted

14 May 2026

Post-doctoral Fellow in the Department of Pathology, School of Clinical Medicine

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 536281 Work type: Full-time Department: Department of Pathology, School of Clinical Medicine (21200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in the Department of Pathology, School of Clinical Medicine (Ref.: 536281), to commence as soon as possible for a period one to two years, with the possibility of renewal subject to satisfactory performance and funding availability. Duties and Responsibilities Lead and manage research projects on haematolymphoid neoplasms and related diseases, including experiments involving clinical samples, cell lines and in-vivo models, as well as statistical analyses Discover and characterize novel biomarkers and drug targets in lymphoid neoplasms Assist in supervising research postgraduate students Participate in collaborative projects on haematolymphoid diseases with partner medical/research institutions Prepare research papers, grant applications and other administrative tasks related to research projects Undertake other duties as assigned Enquiries about the duties of the post should be sent to Dr. Rex Au-Yeung at rex.auyeung@hku.hk. Requirements: Ph.D. degree in biomedical sciences or related discipline, preferably with experience in cancer biology, cell culture, flow cytometry and in-vivo models Good command of written and spoken English & Chinese Excellent communication and collaboration skills, with proven ability to work effectively both independently and as part of a multidisciplinary team Self-driven, meticulous and highly motivated 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 applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until July 31, 2026, or until the post is filled, whichever is earlier.

Salary

Competitive salary

Posted

14 May 2026

Research Engineer / Research Fellow (Commercial Off-The-Shelf (COTS) Drone) - PL

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Introduction As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of a research team to investigate and determine potentially critical Commercial Off-The-Shelf (COTS) drone system vulnerabilities impacting confidentiality, integrity and availability. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PIs and research team members to ensure all project deliverables are met. Initiate and help guide work and demonstrations in the following tasks: Firmware extraction and reverse engineering. Study, understand and analyse mobile platform applications. Design, develop and test AI-driven security testing techniques. Design, develop and test control augmentation techniques. Adaptation of developed techniques for more generic use. Perform project documentation and technical mentoring of student assistants. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.  Job Requirements A good degree in Computer Science / Engineering, preferably with a relevant postgraduate qualification for Research Fellow. Proficiency with firmware extraction and reverse engineering. Proficiency with penetration testing techniques and tools. Proficiency with software scripting and development work on desktop and / or mobile platforms. Key Competencies Self-directed learner who believes in continuous learning and development. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Proficient in technical writing and presentation. Able to build and maintain good working relationships with people within and external to the university.

Salary

Competitive

Posted

14 May 2026

Research Assistant, Image Processing

RMIT UNIVERSITY

RMIT University

Australia

institution

RMIT University

Australia


1 x full time, fixed term (2 years) position available in the School of Science within STEM College Salary Academic Level A ($80,755 - $109,536) + 17% Superannuation Based at the City, but may be required to work and/or be based at other campuses of the University About the Role The Research Assistant will work on photonics and integrated photonic systems, including on-chip optical technologies and light-matter interaction at micro- and nanoscale levels. The role is part of the ARC E2Crop Hub and the Centre for Atomaterials and Nanomanufacturing at RMIT University. These programs focus on developing technologies for energy-efficient systems, renewable energy integration, advanced materials, sensing, and sustainable production. The position involves supporting research that spans both fundamental studies and applied outcomes, with applications in energy systems, environmental monitoring, advanced manufacturing, and controlled environment agriculture. About You Proficiency in programming languages, including Python, C++, or Java, focusing on algorithms and data structures applied explicitly in computer vision projects Knowledge of machine learning and deep learning frameworks, including TensorFlow or PyTorch Knowledge of neural networks - especially convolutional neural networks (CNNs) Understanding of image processing techniques - including filtering, edge detection, and image segmentation- for manipulating images Familiarity with computer vision libraries, like OpenCV or Dlib, for developing and implementing vision-based models Familiar with 3D refractive imaging technique with demonstratable track record. Mathematical skills in linear algebra, calculus, and statistics for algorithm development and data analysis Evidence of research output including high quality publications, conference contributions and/or technical reports in the field. Ability to generate alternative funding projects through effective liaison with industry and government. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required. Demonstrated high level of communication skills. Qualifications Mandatory: Ph.D. degree in Optical engineering, Applied Physics, or Computer Science Problem-solving abilities for determining innovative solutions to the complex problems common to computer vision engineering - such as dealing with messy background or addressing issues with object detection. Attention to detail for ensuring precision in coding and model training - and enhancing the accuracy and reliability of computer vision applications. Collaborative skills for working effectively with data scientists, software developers, and project managers. Adaptability, including a willingness to stay updated with the rapidly evolving field of computer vision and learn new techniques and technologies as they emerge. Communication skills for explaining technical project requirements, progress, and outcomes to non-technical stakeholders Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To Apply Please submit your CV and covering letter and address the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. For more information on this role, please connect with Dr. Mingdeng Luo, ARC E2Crop Hub Manager at mingdeng.luo2@rmit.edu.au Position Description - Research Assistant, Image Processing Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.Applications close on Sunday, 14th of June. About RMIT UniversityRMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.https://www.rmit.edu.au/abouthttps://www.universitiesaustralia.edu.au/university/rmit-universityWhy work at RMIT UniversityOur people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.https://www.rmit.edu.au/about/facts-figures/reputation-and-rankingsBring Your Whole Self to WorkWe are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.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. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careersRMIT 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.We are a Circle Back Initiative Employer - we commit to respond to every applicant.

Salary

Competitive

Posted

14 May 2026

Research Engineer (in Accounting and NLP/AI) - BRC

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of contradiction scores.  Job Responsibilities Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met. Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings). Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora. Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures. Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels. Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques. Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis. Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines. Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings. Job Requirements Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field. Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn. Prior experience or coursework in natural language processing, machine learning, or information retrieval. Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices. Experience with financial data or financial text analysis will be advantageous. Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous. Good communication skills and ability to work both independently and collaboratively.

Salary

Competitive

Posted

14 May 2026

Do you work for this institution?

Make your university stand out by adding more stats, events and more.

Subjects Taught at the University of Medicine and Pharmacy Carol Davila

See below for a range of subjects taught at the University of Medicine and Pharmacy Carol Davila

Medical and Health

  • Medicine and Dentistry
  • Other Health