University of Brescia

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project, funded by Singapore Ministry of Education (MOE), where you will be part of the research team to develop a scalable and comprehensive framework for formal verification of quantum programs. The framework consists of the following deliverables: Intermediate Language. We plan to develop an intermediate language to model quantum programs. The intermediate language would be complete to describe all the desired characteristics of quantum computing while at the same time simple enough to be understood by most programmers. Formal Verification Framework. We plan to develop a comprehensive framework to verify the correctness of quantum programs written in the proposed intermediate language. Mechanization. We plan to mechanize the formal framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: develop an intermediate language to write quantum programs. develop a comprehensive framework to verify the correctness of quantum programs written in our intermediate language. mechanize the verification framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. develop formal methods for automatic reasoning that can be materialized into commercial tools. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of formal methods (including theorem proving and model checking), quantum computing, and software analysis/verification. Have a degree in computer science, computer engineering, electrical engineering, or related areas. Possessing a Master degree will be advantageous. Knowledge of quantum circuit design and quantum program analysis/verification will be advantageous. Key Competencies Able to build and maintain strong working relationships with people within and external to the university Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

General Information Job Family: Academic College/Department: QU Health. VPMHS office Supervisor: Director for clinical affairs Working Relationships Internal Relationships QU Health colleges (CMED, CDEN, CPH, CNUR, CHS) Clinical faculty Clinical appointments committee QU Health Director for Clinical Education Heads of Clinical Training for colleges External Relationships Clinical affiliates (HMC, PHCC, Sidra, Aspetar, private hospitals and clinics) External stakeholders related to clinical education and licensing Job Summary and Key Responsibilities Job Summary The Clinical Appointment Specialist is responsible for organizing and overseeing clinical appointments and faculty licensing. This position ensures smooth collaboration between QU Health and its clinical affiliates by handling faculty appointments, licensing, and QU Health Graduates’ recruitment. Moreover, the Clinical Appointment Specialist acts as a primary point of contact with external stakeholders, contributing to the effectiveness and success of clinical education programs. Responsibilities include also supporting the development of innovative evaluation tools and manages data collection, reporting, and the dissemination of information through reports and newsletters. Key Responsibilities The candidate of this position will be responsible to effectively work with multiple interfaces including colleges (departments heads, associate dean for academic affairs, and dean); colleges under the QU-Health cluster (QU-health Director for clinical education and heads of clinical training for colleges); and clinical Affiliates (mainly, but not limited to HMC; PHCC, Sidra; Aspetar, and private hospitals and clinics).  And MOPH for licensing. Roles and Responsibilities include: Clinical Appointments: Facilitate Clinical Affiliate Engagement and Streamline the Clinical Appointment Process: Act as the primary point of contact for clinical affiliates, providing comprehensive support and guidance throughout the application and recruitment process at various QU Health colleges (CMED, CDEN, CPH, CNUR, and CHS).  Offering guidance and answering questions to help applicants navigate the process successfully. Tracking the status of applications and communicating updates to applicants in a timely manner. Build and maintain strong relationships with clinical affiliates, ensuring a positive and efficient experience. Oversee the entire clinical appointment process, collaborating closely with clinical faculty to ensure a smooth and efficient application and recruitment workflow. Develop and implement standardized procedures to optimize efficiency and transparency. Conduct Thorough Application Reviews: Review applications from clinical affiliates, meticulously checking for completeness and accuracy.  Request additional details or information from applicants as needed to ensure a comprehensive evaluation. Create and maintain detailed checklists for applicants to ensure all required documentation and information are submitted for rank recommendations.  Monitor Offer Status sent by the Academic Recruitment Office: Follow up and track the status of offers sent by the Academic Recruitment Office to clinical affiliates. Monitor acceptance rates and manage appeals from applicants, ensuring timely and appropriate responses Manage Applicant Appeals: Respond to appeals from clinical appointment applicants in a timely and professional manner. Prepare comprehensive appeal cases for review by the Appeals Committee, ensuring all relevant information is presented accurately. Manage Clinical Appointments and Renewals: Manage and organize all aspects of clinical appointments and contract renewals, ensuring adherence to university policies and procedures. Maintain accurate records of appointments and renewals, tracking key dates and deadlines. Oversee Applications for Promotion: Manage and organize requests from clinical affiliates seeking promotion to a higher rank. Carefully review each application to ensure it meets all requirements and adheres to university policies and procedures. Communicate with applicants regarding their eligibility for promotion. Provide detailed explanations to those who do not meet the criteria for a higher rank, offering guidance and support for future applications. For eligible applicants, develop and maintain detailed checklists to ensure all required documentation and information is submitted for rank recommendations. Oversee Annual Appraisal Process: Manage the annual appraisal process for all clinical appointees, sending timely reminders and completeness of appraisal responses collecting feedback from colleagues and clerkship directors to verify the accuracy. Track clinical affiliates research output Systematically track the research output of clinical affiliates, ensuring that they accurately attribute their publications to QU as their affiliation and contacting affiliates as needed. Analyze the impact of clinical affiliates' publications on QU's research ranking and visibility by using tools like SciVal and Elsevier. Create and maintain a comprehensive database of clinical affiliates' research profiles and Scopus IDs for each affiliate.  Manage Clinical Teaching/Research Awards: Announce and promote clinical teaching/research awards, providing guidance and support to clinical affiliates throughout the application process.  Review applications and prepare documentation for review by the Awards Committee. Coordinate Clinical Appointment Events: Plan and execute clinical appointment events, managing logistics, invitations, and communication with VIPs.  Oversee all aspects of event preparation to ensure a successful and engaging experience for attendees. Ensure Data Accuracy and Consistency: Manage the archiving and maintain an up-to-date database for all clinical appointments, ensuring accurate and accessible records. Communicate regularly with HR after each recruitment cycle to ensure that the records of clinical affiliates are accurate and consistent across all departments and systems. Address any discrepancies promptly. Prepare Comprehensive Annual Reports: Compile and submit annual reports for the unit, including statistics on new, renewed, and non-renewed appointments, as well as achievements and contributions of clinical faculty. Analyze data and provide insights to inform decision-making. Provide Logistical Support: Offer logistical support to clinical appointees, including arranging on-campus visits, coordinating lectures, and facilitating access to necessary resources. Licensing Function of QU Faculty Members: Facilitate Licensing Applications: Provide comprehensive support to QU faculty members throughout the licensing application process and requirements. Ensuring application files are complete, accurate, and submitted on time. Acting as a liaison between faculty and the licensing authority (e.g., Department of Healthcare Professions - DHP). Troubleshooting any issues that may arise during the application process. Manage Licensing Documentation: Oversee the collection and verification of all necessary documentation for faculty licensing applications. (Academic credentials and transcripts, Professional certifications and licenses. and other relevant documents as required by the licensing authority. Process License Transfers and Renewals: Manage the timely and accurate processing of license transfers and renewals for QU faculty members. Tracking license expiration dates and initiating renewal processes in advance.  Facilitating the transfer of licenses for faculty members joining QU from other institutions or countries. Ensuring compliance with all relevant regulations and deadlines. Maintain Licensing Database: Establish and maintain a comprehensive database of all licensed QU (contact information, license type and status, expiration dates and renewal history), any other relevant information related to faculty licensure. Monitor Compliance with DHP Regulations: Monitor QU Health faculty members' clinical practice to ensure compliance with DHP regulations and maintain their clinical licensure. This may involve: Staying up to date on DHP regulations and any changes that may occur.  Providing guidance and support to faculty on licensing requirements and best practices. Conducting periodic audits of faculty clinical practice to ensure compliance. Focal Point with External Stakeholders: Assists in coordinating, supervising, and completing special projects as appropriate. Perform other tasks and duties that may be occasionally required to meet the requirements of the role and the aims of the University. Act as the primary point of contact between stakeholders (HMC, HMDAC, MOPH, PHCC, other institutions) and the health cluster. Ensure smooth communication and address any challenges or concerns that arise during clinical affiliation. Represent QU Health in HMC-HR Meetings: Serve as the primary representative for QU Health in meetings with Hamad Medical Corporation's (HMC) Human Resources department. Track and prepare agreements in line with the existing MOUs between HMC and QU, with a focus on the recruitment of QU graduates. Collaborate with HMC-HR to facilitate the recruitment of QU graduates into HMC, by sharing information about QU Health programs and graduate Tracking the hiring and onboarding of QU graduates at HMC and provide updates on the recruitment process for QU graduates at HMC. Streamlining QU faculty supervision for QU students completing clinical placements at HMC. Any other academic-related issues that may arise between QU and HMC. Qualifications Education and Certifications MSc or equivalent in health-related fields PhD degree or equivalent in health-related fields (preferred) Languages Bilingual (Arabic/English) skills preferred but not mandatory. Excellent English written and verbal communication skills. Ability to read, analyze and interpret common scientific and technical journals, financial reports, and legal documents. Experience and workshops and Job requirements Has professional and/or administrative experience in relevant settings. Has documented accomplishments in teaching, research, and service at a level to be appointed as a faculty member in one of the academic departments of the colleges. Competencies Leadership Competencies / Proficiency Level Leadership and Management Skills: Demonstrated leadership and management abilities to effectively guide and develop faculty members and support staff. Effective interactions with other colleges and departments within Qatar University and with external funding agencies and institutions. Organizational Skills: Strong organizational and time management skills. Meticulous attention to detail and accuracy. Excellent written and verbal communication skills, conveying information clearly and concisely. Communication and Interpersonal Skills: Excellent written and verbal communication skills, conveying information clearly and concisely. Strong interpersonal skills, building rapport and maintaining positive working relationships with diverse individuals. Ability to respond effectively to communications from various stakeholders, including organizations, colleges, faculty, staff, students, and external partners. Demonstrated ethical behavior, professionalism, and strong interpersonal skills to build and maintain positive working relationships. Analytical and Problem-Solving Skills: Critical Thinking: Ability to define problems, collect data, establish facts, and draw valid conclusions to solve problems and plan initiatives. Data Interpretation: Ability to interpret technical instructions, including those presented in mathematical or diagram form, and to deal with abstract and concrete variables. Knowledge and Expertise: Understanding of Qatar University's policies and procedures related to faculty appointments, clinical affiliations, and collaborations with external institutions. Behavioral Competencies / Proficiency Level Teamwork and Collaboration: Ability to work effectively both independently and as part of a team. Collaborative approach, readily sharing information and supporting colleagues. Professionalism and Work Ethic: Maintains confidentiality and handles sensitive information with discretion. Demonstrates reliability and dependability, consistently meeting deadlines and fulfilling commitments. Takes initiative and demonstrates a proactive approach to problem-solving. Technical Competencies / Proficiency Level Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, etc.)

Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Research Assistant to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Research Assistant will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML for healthcare; Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field Demonstrable research experience involving data pre-processing and preparation for machine learning models Demonstrable research experience in conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics First-author peer-reviewed published papers (or under review) Evidence of leadership and service activities in the academic domain For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, and a transcript, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.