research intern

PakWheels.com

<div>
 As a Data Research Intern at PakWheels.com, you&rsquo;ll be responsible for managing and analyzing automobile-related data to drive insights, while working with a cross-functional team consisting of marketing specialists, research analysts, and software engineers.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understanding of automobile models, manufacturers, and segmentations (e.g., electric vehicles,luxury cars, SUVs).
  </li>
  <li>
   Awareness of key factors affecting the automobile market, such as demand patterns, regulatory developments, and emerging trends (e.g., EV adoption).
  </li>
  <li>
   Ability to gather, analyze, and interpret data from multiple sources, including industry reports,competitor analysis, and customer behavior.
  </li>
  <li>
   Conduct in-depth research to support pricing strategies and market positioning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Business Administration, Data Analytics, Marketing or a related field
  </li>
  <li>
   Knowledge of the automobile industry, including trends, customer preferences, and market dynamics, is a plus.
  </li>
  <li>
   Strong organizational and multitasking abilities.
  </li>
  <li>
   Curiosity and a growth mindset to stay updated on industry trends and tools.
  </li>
  <li>
   Strong analytical and critical thinking skills to translate data into actionable insights.
   <br/>
   <br/>
  </li>
 </ul>
 At PakWheels, we take pride in fostering a dynamic and innovative workplace culture that values collaboration and growth. Since 2003, PakWheels.com has transformed the automobile industry in Pakistan, helping millions of Pakistanis buy, sell, and maintain their vehicles. By joining PakWheels, you'll be part of a mission to revolutionize the automobile landscape. Our environment thrives on creativity, teamwork, and forward-thinking ideas.
</div>


Data Research Intern

MD Anderson Cancer Center

<p>A Research Intern position is available in the department of Biostatistics. This position focuses on the development and application of advanced statistical and computational methods for large-scale germline genetics data in cancer research. The trainee will gain hands-on experience with real-world cancer genetics datasets, statistical theory, and communication of research findings to multidisciplinary teams.<br>
<br>
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.<br>
<br>
<b>LEARNING OBJECTIVES</b><br>
1. To acquire a deep understanding of state-of-the-art statistical genetics methods through critical literature review.<br>
2. To learn how to develop and apply complex statistical inference tools for statistical genetics approaches in cancer research.<br>
3. To learn the process of scientific publication and effectively communicate research in a multi-disciplinary environment.<br>
<br>
<b>ELIGIBILITY REQUIREMENTS</b><br>
Applicants should have a strong background in mathematics, statistics, or a related field. Prior experience with genetics data is desirable. Strong programming skills in Python or R and experience with cancer research are preferred.<br>
<br>
<b>ADDITIONAL APPLICATION INFORMATION</b><br>
Candidates need to demonstrate a strong commitment to research, self-motivation, and the ability to work in an interdisciplinary research environment. The selected candidate will actively engage in weekly mentoring meetings, participate in scientific discussions, and contribute to publications and presentations.<br>
<br>
<b>POSITION INFORMATION</b><br>
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
<br>
<br>
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
<br>
<br>
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html</p>

Research Intern - Biostatistics

HR Force International

<b>Key Responsibilities:</b><br>
<ul>
<li>Conduct comprehensive research and gather data from various sources.</li>
<li>Assist in analyzing collected data and synthesizing findings into actionable insights.</li>
<li>Support the preparation of research reports, presentations, and other documentation.</li>
<li>Collaborate with team members on research projects, sharing ideas and insights.</li>
<li>Stay informed about relevant industry trends and competitor activities.</li>
<li>Participate in team meetings and contribute to collaborative discussions.</li>
</ul>
<b>Requirements:</b><br>
<b>Qualifications:</b><br>
<ul>
<li>Currently pursuing or recently completed a Bachelor’s or Master’s degree in Research, Business, Social Sciences, or a related field.</li>
<li>Strong analytical and critical thinking skills.</li>
<li>Excellent written and verbal communication abilities.</li>
<li>Proficient in Microsoft Office Suite (especially Excel and PowerPoint) and Google Workspace.</li>
<li>Familiarity with research methodologies preferred.</li>
</ul>
<b>Preferred Skills:</b><br>
<ul>
<li>Previous research experience or relevant coursework.</li>
<li>Ability to work both independently and as part of a team.</li>
<li>Strong organizational skills and attention to detail.</li>
</ul>


Research Intern

Programmers Force

<p><b>Key Responsibilities:</b></p><ul><li>Conduct comprehensive research and gather data from various sources.</li><li>Assist in analyzing collected data and synthesizing findings into actionable insights.</li><li>Support the preparation of research reports, presentations, and other documentation.</li><li>Collaborate with team members on research projects, sharing ideas and insights.</li><li>Stay informed about relevant industry trends and competitor activities.</li><li>Participate in team meetings and contribute to collaborative discussions.</li></ul><p><b>Qualifications:</b></p><ul><li>Currently pursuing or recently completed a Bachelor&rsquo;s or Master&rsquo;s degree in <b>Research, Business, Social Sciences, or a related field</b>.</li><li>Strong analytical and critical thinking skills.</li><li>Excellent written and verbal communication abilities.</li><li>Proficient in Microsoft Office Suite (especially Excel and PowerPoint) and Google Workspace.</li><li>Familiarity with research methodologies preferred.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Previous research experience or relevant coursework.</li><li>Ability to work both independently and as part of a team.</li><li>Strong organizational skills and attention to detail.</li></ul><p>Job Types: Full-time, Internship<br/>Contract length: 3 months</p><p>Pay: Rs15,000.00 - Rs20,000.00 per month</p><p>Work Location: In person</p>

Keeta

<div>
 <p>
  <strong>
   About us
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Keeta
  </strong>
  is an independent brand under
  <strong>
   Meituan
  </strong>
  , the world&rsquo;s largest tech-driven retail company. We specialize in food and consumer product delivery services across international markets, guided by our mission:
  <strong>
   "We help people eat better, live better."
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Following our successful launch in
  <strong>
   Hong Kong in 2023
  </strong>
  and full market entry into
  <strong>
   Saudi Arabia
  </strong>
  , we are now expanding into the
  <strong>
   UAE, Kuwait, and Qatar
  </strong>
  as part of our continued global growth.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔍
  <strong>
   What You&rsquo;ll Be Doing
  </strong>
 </p>
 <ul>
  <li>
   Conduct user research to deeply understand local consumption habits, preferences, and behaviors in Qatar
  </li>
  <li>
   Assist in analyzing user targeting, behavior patterns, and scenarios to uncover growth opportunities
  </li>
  <li>
   Provide data-driven recommendations to improve services and enhance user experience
  </li>
  <li>
   Perform industry and market research to support strategic decision-making
  </li>
 </ul>
 <p>
  ✅
  <strong>
   What We&rsquo;re Looking For
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Language:
   </strong>
   Fluent in English; native or proficient Arabic speaker
  </li>
  <li>
   <strong>
    Location:
   </strong>
   Based in Qatar with strong knowledge of local culture and consumer habits (long-term residents preferred)
  </li>
  <li>
   <strong>
    Background:
   </strong>
   Currently enrolled in or recently completed studies in Psychology, Marketing, Business, or related fields
  </li>
  <li>
   <strong>
    Mindset:
   </strong>
   Proactive, fast learner, logical thinker, and adaptable to a dynamic, fast-paced environment
  </li>
  <li>
   <strong>
    Work Eligibility:
   </strong>
   Able to work in Qatar without visa sponsorship during the internship
  </li>
 </ul>
 <p>
  🌟
  <strong>
   Why Join Us?
  </strong>
 </p>
 <ul>
  <li>
   Be part of a fast-growing international business with huge market potential
  </li>
  <li>
   Work in a core department with a collaborative, growth-driven team
  </li>
  <li>
   Get hands-on exposure to the food delivery business model with the freedom to apply your ideas and insights
  </li>
 </ul>
 <p>
 </p>
</div>


User research intern

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
At Intuit, we believe in the power of early talent. Our internship and co-op program provides hands-on experience, mentorship, and opportunities to contribute to real-world projects that impact millions. We get up every morning with our hearts beating fast, driven by the knowledge that we're transforming the world of consumer and small business finance. It&rsquo;s why our products continue to resonate with 50 million consumers around the globe.</p><p></p><div><br>
We are hiring AI research interns to join our team of researchers to work on foundational AI problems that directly influence Intuit&rsquo;s portfolio of fintech offerings to millions of consumers and small businesses. As a research intern at Intuit, you will work on cutting edge AI technologies, leading to innovative solutions that push the state of the art in AI while improving our customer experience. Current areas of exploration include robust and safe AI (including but not limited to generative AI), neuro-symbolic AI (knowledge representation and learning and constraint satisfaction), reinforcement learning, agents and multi-agents systems, post training and inference time scaling in language models, decision theory.</div><p><b><br>
Responsibilities</b></p><div>
As an AI Research intern at Intuit, you will join a high-caliber team of research scientists, domain experts, data scientists, and machine learning engineers to research and apply the latest innovation in relevant topics to develop advanced capabilities that serve our customers&rsquo; needs, both current and future.</div><p></p><p><b><br>
Qualifications</b></p><ul><li>
Currently enrolled in a PhD program in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field.</li><li>
Experience in one area of AI (e.g., natural language processing, large language modeling, generative AI, uncertainty quantification, reinforcement learning, algorithmic foundations of optimization, or similar areas).</li><li>
Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, ACL, AAAI, EMNLP, ACL, AISTATS, KDD)</li><li>
Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks</li><li>
Experience in dissemination of scientific work in English through paper submissions, and conference presentations.</li></ul><p><b>
Eligibility</b></p><ul><li>
Must be legally authorized to work in the US on a full-time basis during the duration of the internship</li><li>
A graduation date at least 4 months after the end of the internship</li><li>
Ability to work onsite for a minimum of 3 days per week</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><div><b><i>
 </i></b>Mountain View, CA:<b><i>$36.50 - $73.79 USD</i></b></div></div>

Summer 2026 AI Research Intern

Microsoft

<div><div>Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.</div><div><br>
Join <b>Human Intelligence</b> team in <b>Windows A</b><b>pplied Sciences Group</b> to advance <b>multimodal face normalization</b> and <b>RGB+NIR recognition</b> for secure sign-in experiences (e.g., Windows Hello). We explore techniques that transform diverse, cross-modal inputs into robust identity representations; improve invariance to pose/illumination/occlusion; and pursue compute-efficient perception for real-world deployment. We emphasize scientific rigor, reproducibility, and user-centric evaluation at production scale.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><div>
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world&rsquo;s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.</div><h4 class="jobSectionHeader"><b>
Additional Responsibilities</b></h4><ul><li><b>
Research &amp; prototype</b> methods in areas such as:<ul><li><b>
Unified face normalization across modalities</b> (e.g., RGB NIR), with joint prototype + feature learning and cross-modal alignment.</li><li><b>
Multimodal face recognition</b> (fusion across RGB, NIR, depth/IR, audio cues where appropriate), with robustness/fairness under distribution shift.</li><li><b>
Large Language Models-aided face verification</b>: explore Vision Language Models (VLM)/Large Language Models (LLM) pipelines that (i) use visual context in the photo (attributes, scene cues, spatiotemporal hints) to assist verification; (ii) provide interpretable rationales; and (iii) improve failure detection and human-in-the-loop triage.</li><li><b>
Efficiency &amp; reliability</b>: distillation/quantization/pruning, lightweight encoders/normalizers, calibration and uncertainty, liveness/antispoof integration.</li></ul></li><li><b>
Evaluate thoroughly</b>: define datasets and protocols; run ablations and benchmarks (ROC, EER, TPR@FAR, latency/memory, fairness/robustness).</li><li><b>
Production immersion</b>: learn Windows Hello-style pipelines (signals, constraints, on-device considerations) to align research with deployment.</li><li><b>
Publish</b>: communicate results via talks, internal tech reports, and submissions to top venues.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><h4 class="jobSectionHeader"><b>
Required Qualifications</b></h4><ul><li>
Currently enrolled in a <b>Master&rsquo;s or Ph.D.</b> program in <b>CS, EE, Applied Math</b>, or related field with a focus in <b>vision/graphics/ML</b>.</li></ul><div><b>
Other Requirements</b></div><ul><li>
Research Interns are expected to be physically located in their manager&rsquo;s Microsoft worksite location for the duration of their internship.</li><li>
In addition to the qualifications below, you&rsquo;ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li>
Publications in CVPR/ICCV/ECCV/NeurIPS/ICLR/ICML/SIGGRAPH or related journals.</li><li>
Experience in face recognition/verification, multimodal learning/fusion, metric learning, representation or generative modeling.</li><li>
Depth in <b>multimodal normalization</b> (pre-FR normalizers, prototype learning) and <b>RGB NIR FR</b>.</li><li>
Experience with <b>VLMs/LLMs</b> (prompting, fine-tuning, tool-use) for visual reasoning, explainability, or safety.</li><li>
Scalable training (DDP/multi-node), dataset curation, reproducible MLOps; familiarity with liveness/FAS and fairness/robustness evaluation.</li><li>
Proficient PyTorch/JAX background; ability to implement/reproduce SOTA.</li></ul><div></div><div><br>
Applied Sciences IC2 - The base pay range for this internship is USD $5,610 - $11,010 per month.</div><div></div><div><br>
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,270 - $12,030 per month.</div><div></div><div><br>
Applied Sciences IC3 - The base pay range for this internship is USD $6,710 - $13,270 per month.</div><div></div><div><br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay</div><div></div><div><br>
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar (September - April).</div><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Research Intern - Human Intelligence

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