quantitative researcher

JPMorganChase

<div>
 
 Job Description
 
 
 
 We're seeking a highly motivated Associate or Vice President to join our Quantitative Trading &amp; Research (QTR) team in New York. The role blends quantitative development with close engagement with Trading and Risk to deliver impactful solutions.
 
 
 
 Position Summary
 
 
 
 As an Associate or Vice President on the Quantitative Trading &amp; Research team, you will partner closely with both XVA trading and Counterparty Credit risk. You will help in developing of quantitative models to enhance pricing and risk management.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop models/analytics for pricing and management of XVA, Margin and Counterparty Credit Risk, from research to product deployment.
 </li>
 <li>
 Partner with Trading and Risk to translate business needs into quantitative solutions, provide ongoing production support including incident triage and root-cause analysis.
 </li>
 <li>
 Own end-to-end delivery with Technology on implementation, testing and deployment.
 </li>
 <li>
 Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring.
 
 
 </li>
 </ul>
 
 Required Qualification, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Advanced degree in a quantitative field (or Bachelor's with 2+ years relevant experience).
 </li>
 <li>
 Strong understanding of probability/statistics and derivatives pricing; demonstrated ability to develop new quantitative approaches.
 </li>
 <li>
 Strong programming in Python and/or C++;
 </li>
 <li>
 Clear communicator with strong ownership, problem-solving skills, and ability to thrive in a fast-paced, collaborative environment.
 
 
 </li>
 </ul>
 
 Preferred Qualification, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Agentic AI and data pipeline/processing experience a plus.
 </li>
 <li>
 Product development lifecycle experience a plus.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans
 
 
 
 About The Team
 
 
 
 J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Quantitative Trading & Research - Portfolio - Associate

Wise Australia Investments

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Lead Data Scientist (Quant) - Treasury FX

Promptwatch

<div>
 Data Scientist
 
 
 Amsterdam
 
 Full-time
 
 Medior-Senior (4+ YOE)
 
 &euro;60,000 - &euro;85,000
 
 
 Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.
 
 
 This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.
 
 
 What You'll Do:
 
 
 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
 
 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
 
 Make sense of large amounts of unstructured AI response text using embeddings and vector search
 
 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
 
 Develop reproducible analyses and pipelines that scale with our growing dataset
 
 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
 
 Validate data quality and define methodologies that customers can trust
 
 What
 
 
 We're Looking For:
 
 
 4+ years experience in data science, analytics, or a quantitative research role
 
 Strong proficiency in Python and SQL for data analysis
 
 Solid foundation in statistics, experimentation, and ML fundamentals
 
 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
 
 Hands-on experience with vector search and embeddings
 
 Ability to translate ambiguous questions into clear, measurable analyses
 
 Strong communication skills to present findings to technical and non-technical audiences
 
 Curious and excited about AI, search, and emerging buyer behavior
 
 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
 
 
 Nice to Have:
 
 
 Experience with NLP or working with LLM outputs
 
 Background in SEO, search, or marketing analytics
 
 Experience building data visualizations or dashboards
 
 
 Compensation
 
 Salary: &euro;60,000 - &euro;85,000 (depending on experience)
 
 
 Perks: Great office location, team off-sites, company and team sports activities
</div>

Data Scientist

New York University Abu Dhabi

<div>
 The Center for Technology, Economics, and Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Junior Research Scientist (AI-Blockchain Project) for a one-year period, with the possibility of renewal conditional on excellent performance.
 
 
 The Junior Research Scientist (AI-Blockchain Research) will support advanced, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED&rsquo;s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr. Yaw Nyarko, and Co-Principal Investigator (Co-PI), Dr. Ra&scaron;a Karapand&zcaron;a, the Junior Research Scientist will contribute to AI-driven and blockchain-enabled research related to commodities markets and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical proofs; implement optimization and simulation-based methods; and analyze large and complex datasets. Responsibilities include supporting experimental and field-based research, preparing literature reviews, translating complex AI and mathematical findings into clear written outputs, and contributing to research reports, concept notes, and academic publications.
 
 
 Candidates must hold a Master&rsquo;s degree in Computer Science, Data Science, Mathematics or a related field (e.g., Economics with a strong mathematics background). and have less than five years of relevant research experience; or hold a Bachelor&rsquo;s degree in a relevant field with any level of research experience. Applicants must have extensive coding experience, and preferably, applicants will have experience conducting field research in emerging countries and working on randomized controlled trials (RCTs). Applicants with experience working in programming languages such as Python, JavaScript, and/or MATLAB, a strong interest in economic and quantitative research and the willingness to learn about the blockchain, are encouraged to apply. Experience in web development, blockchain, commodities markets, and technology and economic development will be considered a plus. The successful candidate will work in a multidisciplinary environment, working autonomously, but as a team member under the direction of the Principal Investigator.
 
 
 The terms of employment are very competitive. Applications will be accepted immediately, and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae/resume, transcript of degree, and one academic writing sample, and 2 contact references, all in PDF format. If you have any questions, please email amp330@nyu.edu.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 Working for NYUAD
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Social Science (CTED) - Dr. Yaw Nyarko

Mayo Clinic

<div><div>Why Mayo Clinic</div><div> 
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans &ndash; to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.</div><div> 
</div><div>
Benefits Highlights 
<ul><li>
Medical: Multiple plan options.</li><li>
Dental: Delta Dental or reimbursement account for flexible coverage.</li><li>
Vision: Affordable plan with national network.</li><li>
Pre-Tax Savings: HSA and FSAs for eligible expenses.</li><li>
Retirement: Competitive retirement package to secure your future.</li></ul></div> 

Responsibilities 
We are seeking a highly motivated researcher with experience in machine learning with Python to develop multimodal AI/ML models from healthcare conversations combined with other sources of data (e.g., scans and tabular data). The ideal candidate will have hands-on experience with textual (NLP), acoustic (speech), and visual data and the ability to integrate these modalities into state-of-the-art models for healthcare applications. The analyst assists with multidisciplinary research analysis using a variety of analytical, quantitative, qualitative, and programming skills. The analyst conducts comprehensive literature searches related to health services research initiatives and compiles and summarizes written and electronic data for research projects. Research funding sources and collects necessary documents for participating in external research collaborations. Writes draft reports that clearly and concisely summarize and illustrate projects findings, outcomes, and results. Drafts sections of grants, abstracts, and manuscripts. Collects and assists in designing data analysis strategies, evaluating data needs and methods of data collection. Implements the data collection protocol. Assists in reviewing study methods, statistical models, and sampling schemes. Trends data to identify potential areas of the investigation supported by graphical presentations. Evaluates the reliability of data sources to ensure data integrity. Coordinates multiple project assignments and is responsible for completing tasks in given timeline. Designs and maintains quantitative and qualitative databases including the management and updating of data.
Model Development &amp; Optimization:<ul><li>
Build and deploy multimodal AI/ML models integrating textual, acoustic, and visual inputs from healthcare conversations and other sources of data (e.g., scans and tabular data)</li><li>
Implement, train, and fine-tune models in Python using packages such as PyTorch, Transformers, OpenCV, torchvision, and torchaudio.</li><li>
Apply prompting strategies, parallel computing, and GPU acceleration to optimize large-scale model training and inference.</li></ul>
Data Management &amp; Analysis:<ul><li>
Collect, preprocess, and manage complex quantitative and qualitative datasets while ensuring data integrity and reproducibility.</li><li>
Design and execute advanced data analysis strategies, including statistical modeling, sampling schemes, and evaluation of computational methods.</li></ul>
Research &amp; Writing:<ul><li>
Conduct literature reviews on AI in healthcare and health services research.</li><li>
Prepare clear and concise reports, visualizations, and presentations of project outcomes.</li><li>
Draft sections of grants, abstracts, and manuscripts related to AI/ML in healthcare.</li><li>
Identify external funding opportunities and contribute to multi-institutional research collaborations.</li></ul>
Project Coordination:<ul><li>
Manage multiple concurrent assignments, track milestones, and ensure timely project delivery.</li><li>
Maintain and update internal quantitative and qualitative databases</li></ul> 

Qualifications 
Master&rsquo;s degree in Computer Science, Engineering, Data Science, Health Informatics, or related field, with substantive coursework in machine learning experience preferred (two years minimum) OR Bachelor&rsquo;s degree in the fields above with strong quantitative background and four years of experience (minimum) required. Research experience preferred. Experience with previous research projects with quantitative and/or qualitative focus. Competent to work independently in most phases of research analysis, requiring only general instructions and direction. Demonstrated proficiency in written communication and research methodology. Able to think logically and to systematically analyze alternative solutions in problem solving. Knowledgeable about a current health care delivery environment. Works with general supervision; develops procedures for performance of a variety of duties; performs complex duties within established guidelines.
Technical Skills:<ul><li>
Strong programming skills in Python, with proficiency in PyTorch, Transformers, and scikit-learn.</li><li>
Experience in NLP, speech processing, and/or visual modeling evidenced through previous projects.</li><li>
Familiarity with GPU computing, distributed training, and prompting strategies ( for large language models.</li><li>
Familiarity with Bash scripting</li></ul>
Professional Skills:<ul><li>
Demonstrated ability to work independently and in multidisciplinary teams.</li><li>
Excellent written and verbal communication skills, with experience drafting research reports and manuscripts.</li><li>
Familiarity and interest with healthcare research and delivery contexts preferred.</li></ul>
Note: Visa sponsorship is not available for this position. Must be U.S. citizen, permanent resident, refugee or asylee. 
Exemption Status 
 
Nonexempt 
 
Compensation Detail 
 
$35.45-$53.15/hr; Education, experience and tenure may be considered along with internal equity when job offers are extended. 
 
Benefits Eligible 
 
No 
 
Schedule 
 
Part Time 
 
Hours/Pay Period 
 
Varied 
 
Schedule Details 
 
Flexible hours/Up to 40 hours a week 
 
Weekend Schedule 
 
N/A 
 
International Assignment 
 
No 
 
Site Description 
<div>
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</div><div><div> 
Equal Opportunity</div><div> 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the &quot;EOE is the Law&quot;. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. 
</div></div> 
 
Recruiter 
 
Stephanie Baird</div>

KER Unit - Health Services Analyst - Supplemental

The Citizens Foundation

Required Qulafication:Bachelor&rsquo;s or Master&rsquo;s in Education (B.Ed. preferred) from a reputable institution.Required Experience:3&ndash;5 years of school teaching experience (minimum).3&ndash;4 years as a Academic Coordinator, Vice - Principal / Principals, Teacher Trainer, or Section Heads (desirable).The WSE Evaluator plays a pivotal role in conducting comprehensive, participatory evaluations across TCF&rsquo;s 2,000+-school network. You will blend rigorous qualitative and quantitative methods&mdash;classroom observations, interviews, surveys, assessments and document reviews&mdash;to co-generate insights with principals, teachers and learners. Your analyses and recommendations will fuel continuous improvement, safeguard integrity and neutrality in the field, and elevate educational outcomes in under-resourced contexts. This role is equal parts researcher, storyteller, and change-maker&mdash;ideal for someone who thrives on intellectual challenge, endless variety, and real impact.Your primary job responsibility will be to conduct rigorous, insightful evaluations using the WSE framework to diagnose school performance and drive sustainable improvement. This will entail the following1.Data Collection &amp; Synthesis: Gather rich, on-site evidence&mdash;classroom observations, student records, surveys and documentation&mdash;and connect the dots to deliver accurate, evidence-based findings. Weave in opportunities for constructive, considerate and thoughtful feedback throughout the process.2.Pattern Recognition &amp; Analysis: Identify trends, correlations and systemic gaps within qualitative and quantitative datasets to draw well-founded conclusions about teaching, learning and operations.3.Stakeholder Engagement: Facilitate trust-based constructive meetings and discussions with principals, teachers and learners to gather insights, validate findings and foster co-ownership of evaluation outcomes with the Principal and the AEM.4.Report Preparation: Produce high-quality, concise evaluation reports in Urdu (and English, if needed), clearly outlining key strengths, areas for growth and actionable, data-driven recommendations.5.Feedback &amp; Presentation: Share findings with school leadership in a clear, solution-oriented manner&mdash;ensuring mutual understanding, buy-in and commitment to next steps.6.Sensitive Conversation Management: Handle divergent viewpoints with professionalism, impartiality and empathy&mdash;managing sensitive discussions to maintain trust and respect.7.Ethical Integrity: Uphold principles of neutrality, fairness, transparency and confidentiality at all times, vigilantly avoiding conflicts of interest.8. Resilience &amp; Adaptability: Thrive under pressure&mdash;juggle multiple priorities, meet tight deadlines and remain flexible in dynamic, rapidly changing field environments without compromising objectivity.9.Prioritisation &amp; Flexibility: Assess and reprioritise tasks in real time to respond effectively to emergent needs on-site, ensuring evaluation momentum is sustained.10.Research &amp; Capacity-Building: Contribute to process improvement, support the design and refinement of evaluation tools, assist in developing training materials to strengthen TCF&rsquo;s evaluation practices and programme quality.What Success Looks Like<ul><li>WSE evaluations executed with consistency in assigned schools, adhering to all framework protocols and timelines.</li><li>Concise, evidence-based evaluation reports delivered timely, with clear strengths, areas for improvement, and prioritized recommendations.</li><li>Principals, teachers and AEM demonstrate understanding of findings, commit to action plans, and incorporate feedback into school improvement plans.</li><li>Schools show measurable progress on key performance indicators&mdash;teaching practices, student outcomes and operational processes&mdash;within agreed follow-up cycles.</li><li>High satisfaction ratings for professionalism, clarity and impact of evaluations.</li><li>School teams and AEMs are able to apply evaluation tools independently, reflecting increased confidence and competence.</li></ul>Required Skills:<ul><li>Analytical Fluency: Ability to synthesise multi-source qualitative and quantitative data, identify patterns and translate findings into actionable recommendations.</li><li>Development and Uplift: The ability to elevate people and school teams through thorough, thoughtful, compassionate and incisive feedback, showing them pathways for improvement grounded in data and evidence.</li><li>Leadership &amp; Stakeholder Engagement: Experience guiding small teams, facilitating open dialogue, and driving consensus among diverse groups.</li><li>Conflict-Resolution: Skilled in active listening, impartial decision-making and managing sensitive field conversations with empathy.</li><li>Communication Fluency: Proficient in Urdu&mdash;able to craft concise, high-quality, structured, professional reports and deliver clear verbal feedback.</li><li>Resilience Under Pressure: Proven ability to manage multiple priorities and deadlines without compromising objectivity.</li><li>Ethical Integrity: Demonstrated commitment to fairness, transparency and confidentiality at all times.</li><li>Tech Fluency: Being able to enter data, interact with and use dashboards and visualisations in meaning making, and type reports / make edits to auto-generated reports.</li></ul>Perks:Provident Fund, EOBI (Pension), Free Pick and Drop, Annual Salary increment process on the basis of performance, Annual Balance of Casual and Medical Leaves, Maternity Leave with pay and reimbursement of expenses, Health Insurance with Jubilee, Life Insurance for all employees, 60 - 70% of female staff, Supportive Area Teams and Regional Teams.Ability to commute/relocate:<ul><li>Faisalabad: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Academic Coordinator, Vice Principal/Principal,: 4 years (Preferred)</li></ul>Location:<ul><li>Faisalabad (Preferred)</li></ul>Willingness to travel:<ul><li>75% (Preferred)</li></ul>Work Location: Hybrid remote in Faisalabad

Whole School Evaluation (WSE) Evaluators – Faisalabad

Brigham Young University

<div>Job Title: Post-Doctoral Researcher - Civil &amp; Construction Engineering - Hypersonic Flow Solvers and Computational Mechanics
Posting End Date: July 30, 2026
<div>*NOTE: Last day to apply is Wednesday, July 29, 2026, at 11:59 pm (MT)
</div>Position Start Date: September 1, 2026
Required Degree:
PhD in Mechanical Engineering, Aerospace Engineering, Civil Engineering, Applied Mathematics, Computational Science, Computer Science, or a closely related field, completed prior to the start date.
The required degree must be completed by the start date.
Required Qualifications:
<ul><li>Strong background in computational mechanics, numerical methods, scientific computing, or solver development.
</li><li>Demonstrated experience developing scientific or engineering simulation software.
</li><li>Strong written and verbal communication skills.
</li><li>Ability to work independently while contributing effectively to a collaborative research team.
</li></ul>Preferred Qualifications:
<ul><li>Experience developing or using computational fluid dynamics solvers, particularly for compressible, high-speed, or hypersonic flows.
</li><li>Experience with computational solid mechanics solvers.
</li><li>Experience with high-order mesh generation, computational geometry, adaptive meshing, moving meshes, or mesh optimization.
</li><li>Experience with fluid-structure interaction or other multiphysics coupling strategies.
</li><li>Experience with isogeometric analysis, high-order finite element methods, discontinuous Galerkin methods, finite volume methods, or related advanced discretizations.
</li><li>Experience with C++, Fortran, Python, Julia, MATLAB, or other scientific computing languages.
</li><li>Experience with MPI, OpenMP, CUDA, Kokkos, RAJA, PETSc, Trilinos, MFEM, deal.II, libMesh, SU2, OpenFOAM, FUN3D, or related computational science software.
</li><li>Experience with collaborative software development practices, including Git, GitHub/GitLab, testing frameworks, continuous integration, and technical documentation.
</li></ul>Position Summary:
A post-doctoral researcher position is available to support advanced research and software development in computational mechanics, with a primary emphasis on high-performance hypersonic flow solvers and related multiphysics simulation technologies. The researcher will contribute to the development, implementation, verification, validation, and application of advanced numerical methods for high-speed compressible flows and related multiphysics simulation capabilities. Depending on the candidate's background and project needs, research may involve spline-based finite element methods, coupled fluid-structure interaction, space-time solvers, solid mechanics, mesh generation, and related computational modeling capabilities.
The position is intended for a highly motivated researcher with strong technical depth in numerical methods, scientific computing, solver development, and computational mechanics. Experience with one or more of the following areas is especially desirable: computational fluid dynamics, computational solid mechanics, mesh generation, multiphysics coupling, parallel programming, and/or isogeometric analysis.
This role emphasizes rigorous computational research, high-quality scientific software development, and close collaboration with faculty, students, and external research partners. The successful candidate will help advance next-generation simulation capabilities for challenging hypersonic and multiphysics applications.
Duties/Expectations:
The Post-Doctoral Researcher will contribute in the following areas:
Hypersonic Flow Solvers, Computational Mechanics, and Numerical Methods
<ul><li>Develop, implement, test, and improve numerical methods for hypersonic and high-speed compressible flow simulation.
</li><li>Contribute to scalable solver capabilities for complex flow physics, which may include shocks, boundary layers, thermal effects, fluid-structure coupling, solid mechanics, mesh motion, and other challenging multiphysics phenomena.
</li><li>Develop and evaluate numerical discretizations, nonlinear and linear solvers, preconditioners, time-integration strategies, and stabilization approaches relevant to large-scale simulation.
</li><li>Support research involving advanced discretization technologies, potentially including finite element methods, high-order methods, space-time methods, and related approaches.
</li><li>Assist in integrating solver components across fluid, solid, mesh, and multiphysics modules.
</li><li>Support verification and validation activities, including benchmark problems, code-to-code comparisons, manufactured solutions, and comparison with available experimental or reference data.
</li><li>Develop robust workflows for simulation setup, execution, post-processing, and analysis of hypersonic flow problems.
</li></ul>High-Performance Scientific Software Development
<ul><li>Design, implement, and maintain high-quality scientific computing software in modern programming environments.
</li><li>Develop scalable parallel algorithms and simulation workflows for distributed-memory, shared-memory, and GPU-accelerated high-performance computing.
</li><li>Use and contribute to computational tools involving linear algebra, sparse matrix methods, iterative solvers, preconditioning, mesh data structures, and parallel communication.
</li><li>Support code testing, documentation, reproducibility, version control, and software engineering best practices.
</li></ul>Applied Research, Publications, and Technical Communication
<ul><li>Conduct original research related to hypersonic simulation, computational mechanics, numerical methods, and scientific computing.
</li><li>Co-author peer-reviewed journal articles, conference papers, technical reports, and research presentations.
</li><li>Present research results at project meetings, technical reviews, conferences, and sponsor-facing discussions.
</li><li>Contribute to proposal development, technical documentation, and research planning as appropriate.
</li></ul>Collaboration and Mentorship
<ul><li>Work closely with faculty, graduate students, undergraduate researchers, and external collaborators on research and software development activities.
</li><li>Provide technical guidance to students contributing to solver development, computational mechanics, mesh generation, or multiphysics simulation tasks.
</li><li>Support internal knowledge transfer through documentation, tutorials, code reviews, and collaborative development practices.
</li><li>Help maintain a productive, rigorous, and collegial research environment.
</li></ul>Documents Required at the Time of Application: Please attach the following documents to your faculty application:
<div><ul><li>Cover letter describing research interests, relevant experience, and fit for the position.
</li><li>Curriculum vitae.
</li><li>Mission Alignment Statement
</li><li>Names and contact information for three professional references.
</li><li>Representative publications or technical writing samples.
</li>Optional: links to relevant software repositories, computational projects, or research codes. 
<li>
</li></ul></div><div>Note: Failure to attach the required documents may result in your application not being considered.
</div>This position requires the successful candidate to relocate and/or reside in Utah for the duration of their employment.
MISSION ALIGNMENT STATEMENT INSTRUCTIONS
If you are a member of the Church of Jesus Christ of Latter-day Saints:
BYU is committed to hiring faculty members who enthusiastically embrace and energetically advance its unique mission. To this end, please include a one-page mission alignment statement as part of your application that addresses how you might, as a BYU faculty member: (1) live a life of loyalty to Jesus Christ and His restored Church and align yourself with doctrine and teachings declared by living prophets, seers, and revelators; (2) demonstrate intentionality in building faith in Jesus Christ and testimony of His restored gospel among students and others in the BYU community; and (3) teach your subject matter with the Spirit of God and strive to keep it &ldquo;bathed in the light and color of the restored gospel&rdquo; (Spencer W. Kimball). 
If you are not a member of the Church of Jesus Christ of Latter-day Saints:
Applicants who are not members of The Church of Jesus Christ of Latter-day Saints include a one-page mission alignment statement that describes understanding of and commitment to the Mission of Brigham Young University and the AIMS of a BYU Education .
EMPLOYMENT REQUIREMENTS
All new employees who are members of The Church of Jesus Christ of Latter-day Saints will be required to hold and be worthy to hold a current temple recommend.
All faculty are required to abide by the university&rsquo;s Honor Code and Dress &amp; Grooming Standards. Preference is given to qualified candidates who are members in good standing of the affiliated church, The Church of Jesus Christ of Latter-day Saints. Successful candidates are expected to support and contribute to the academic and religious missions of the university within the context of the principles and doctrine of the affiliated church. 
 
EQUAL OPPORTUNITY
Brigham Young University is an equal opportunity employer, including disability and protected veteran status.</div>

Post-Doctoral Researcher - Civil & Construction Engineering - Hypersonic Flow Solvers and Computational Mechanics

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