Role Description The incumbent will work under direct supervision of the Sustainable Finance Specialist and in close collaboration with other SFH team members. They will conduct research and help draft knowledge products on the governance and architecture of sustainability data in finance. Deliverables will support several stakeholder networks (FC4S, SIF, Asia-Pacific economic forum sustainable finance initiative). They will assist in the following duties and responsibilities: - Research and report drafting: - Develop an outline into a comprehensive report examining current practices among insurance supervisors regarding the access, utilisation, and governance of catastrophe-related data. - Identify significant gaps and constraints in these processes, as well as opportunities for targeted support or strategic partnerships. - Provide evidence-based support for programs around data systems and AI readiness. - Guide FC4S members in discussions on sustainability data governance and architecture. - Facilitate peer learning about data needs for sustainable finance policy. - Develop data dashboards for policymaking. - Develop case studies documenting how Ministries of Finance and other governmental entities in the Asia-Pacific region organise or envision the architecture and governance of data relevant for sustainable finance. - Design peer-learning sessions based on insights gathered. - Support building coherence across workstreams, capture lessons learned, and identify future program opportunities. - Research dissemination: - Assist in the preparation of briefing notes and presentations on data governance and architecture for senior leadership. - Support the communication lead with content development to promote research outputs and programme activities through various channels. - Support the organization of consultations, roundtables, bilateral meetings, and events as needed. - The incumbent may perform other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization. Qualifications - Self-starter, composed, and patient. - Excellent verbal and written communication skills, and good interpersonal skills. - Strong organizational skills. - Ability to work independently, and in an entrepreneurial setting. - Ability to work and deliver under pressure. - Demonstrates and promotes the highest standard of integrity, impartiality, fairness, and incorruptibility. - Demonstrates a high level of responsibility and professionalism in handling sensitive and confidential information. Requirements - Eligibility: - Be enrolled in a postgraduate degree programme (such as a master’s programme, or higher). - Be enrolled in the final academic year of a first university degree programme (such as bachelor’s degree or equivalent). - Have recently graduated with a university degree and must start the internship within one year of graduation. - Be enrolled in a postgraduate professional traineeship program and undertake the internship as part of this program. - Education: - Field of study required: international development, sustainability, finance, business, economics, political affairs, sustainable finance, or any related field. - Experience: - At least 1 year of relevant experience in sustainable finance, public policy, development finance, or related research. - Demonstrated ability to draft clear, evidence-based outputs (e.g., analytical reports, briefing notes, academic papers, or case studies). - Experience collecting, organizing, and synthesizing qualitative and quantitative inputs to inform recommendations. - Familiarity with sustainability data governance and data architecture concepts is an asset. - Familiarity with the insurance sector and/or insurance supervision is an asset. - IT skills: - Proficiency in the use of Microsoft Office Suite of products is required. - Familiarity with data visualization tools (e.g., Power BI, Tableau, R, etc.) is desired. - Language skills: - Fluency in written and spoken English is required. - Knowledge of another UN language, preferably Spanish or French, is desirable. Benefits - Interns must provide proof of enrolment in a health insurance plan. - UNDP accepts no responsibility for costs arising from accidents and/or illness or death incurred during the internship. - Interns may be given a stipend according to UNDP Internship Policy to help cover basic daily expenses related to the internship. - Interns are not staff members and may not represent UNDP in any official capacity.

Title: Staff Research Associate II Job Description: Work Location: Los Angeles, CA, USA Onsite or Remote Flexible Hybrid Work Schedule Monday-Friday, 8:00am-5:00pm Salary Range: $31.23 - 50.24 Hourly Employment Type 2 - Staff: Career Duration Indefinite Job # 30467 Primary Duties and Responsibilities Press space or enter keys to toggle section visibility The Staff Research Associate II will support a multidisciplinary neuroimaging research program focused on understanding brain mechanisms and treatment response in depression. You will assist with participant recruitment, MRI data acquisition, data analysis, and regulatory compliance. This position involves close collaboration with clinical and research teams and requires strong organizational, technical, and analytical skills. Salary Range: $31.21 - $50.21/Hourly Job Qualifications Press space or enter keys to toggle section visibility Required: - Minimum 2-3 years of related experience or training. - Experience with research data collection and management. - Familiarity with neuroimaging or behavioral research methods. - Strong organizational and time management skills. - Ability to work independently and as part of a multidisciplinary team. - Proficiency with standard computing tools and data handling. Preferred: - Prior experience with MRI data acquisition or neuroimaging research. - Experience with data analysis tools (e.g., R, Python, MATLAB). - Familiarity with neuroimaging software (e.g., FSL, FreeSurfer, AFNI). - Experience with human subjects research and IRB protocols. - Knowledge of Good Clinical Practice (GCP) and HIPAA regulations. As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer. Current/former UC employees are subject to a personnel file review.

Role Description The Adversarial AI & Research Team is a specialized group of cross-functional security engineers working at the intersection of offensive security and artificial intelligence. As a strategic partner to Salesforce's AI Research, Ethics, Engineering, and Cybersecurity Operations teams, we mitigate risk across all AI initiatives by developing novel security frameworks, specialized tooling, and foundational testing methodologies for both generative and predictive AI systems. We are building a robust foundation for AI security through adversarial datasets, in-house content generation systems, and external knowledge sharing — establishing Salesforce as a leader in the AI security field. - Lead adversarial testing by designing, scoping, and executing red team assessments across our AI ecosystem using a risk-based prioritization approach to discover and address vulnerabilities before they can be exploited. - Innovate in AI attack techniques by combining cutting-edge academic research with proven offensive security methods to establish new Tactics, Techniques, and Procedures, and operationalize emerging research to keep assessments aligned with the state of the art. - Build and scale security tooling using an automation-first philosophy, driving initiatives to shift security testing left by sharing purpose-built tools with AI security stakeholders across Engineering, Research, and Ethics. - Serve as a strategic partner across the company, providing an offensive security perspective to guide product development, support corporate governance, and contribute to policies such as Salesforce's Generative AI Security Standard. Qualifications - 1+ years of experience in offensive security OR adversarial AI testing (red teaming, application security, penetration testing, vulnerability research, etc.). - 6+ years of direct, hands-on experience testing the security of AI/ML systems, with a deep understanding of LLM vulnerabilities. - High degree of Python proficiency for tool development, assessment automation, and data analysis. - Proven experience leading complex technical projects and/or mentoring security teams, with exceptional ability to communicate high-stakes technical risks to both engineering and executive audiences. Requirements - Advanced degree (MS or PhD) in a relevant field, or a public portfolio of security research including conference presentations, published papers, CVEs, or open-source contributions. - Experience creating or managing large-scale datasets for security testing or machine learning training. - Experience building automated testing frameworks or large-scale evaluation pipelines. - Familiarity with current AI safety research and frameworks like MITRE ATLAS and the OWASP Top 10 for LLMs. Benefits - Time off programs - Medical, dental, and vision coverage - Mental health support - Paid parental leave - Life and disability insurance - 401(k) - Employee stock purchasing program

Role Description Introduces students to understanding and applying research in education: researching a topic, critical reading, overview of various types of applied research. Qualifications - PhD in education or a field of study related to the course - Publications in the field of study within the last 5 years - Expertise in this subject area - Experienced in e-learning Requirements - Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor - Expected Enrolment: 35 - Number of credits: 3 - Work Hours: 39 - Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025) - Course type: C - Posting type: Régulier / Regular - Language of instruction: Anglais | English - Competence in second language: Passive - Course Schedule: Asynchronous web-based course Benefits - The academic year starts on September 1 and ends on August 31. - These rates do not include vacation pay nor statutory pay. - These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.