Post Doc Researcher - Economics – Microsoft Research jobs at Microsoft in Taiwan, Taoyuan City

As an(AM) focused on Microsoft Advertising, you will enable Microsoft to better serve clients by applying your obsession to what clients care about and need, ensuring our story is valued and understood, and building and maintaining solid trusted-advisor relationships with day-to-day practitioner contacts at advertiser/agency. You will drive both revenue and client satisfaction across MSA’s performance solutions and as a core member of the account team, this opportunity will allow you to focus on driving data-driven optimizations aligned with client needs, executing campaigns and driving solid coordination or internal resources for excellence in execution of core tasks, account transitions, and client account health.

Required Qualifications:

• Master of Business Administration (MBA) Degree in Sales, Marketing, or related field and 2+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR Bachelor's Degree in Sales, Marketing, or related field and 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR 6+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) or equivalent experience.
• 1+ year of experience managing hands-on search advertising campaigns and other performance-based digital marketing campaigns.

Preferred Qualifications:

• Master of Business Administration (MBA) Degree in Sales, Marketing, or related field and 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR Bachelor's Degree in Sales, Marketing, or related field AND 5+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR 8+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) OR equivalent experience.
  
• 2+ years of experience managing hands-on search advertising campaigns and other performance-based digital marketing campaigns.
  
• 2+ years of experience in online media or Search Engine Marketing Sales and Service experience.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 19, 2025.

• Proactively solicits feedback on additional advertising needs, products, and features and ensures the feedback reaches the right stakeholders internally through relevant channels to gain a further understanding of market needs and client expectations and to drive solutions on behalf of the clients.
• Builds and maintains a solid network of internal and external partner resources to drive opportunities and influence impact for clients. Collaborates with partners to develop and share client plans that support Microsoft business and client needs.
• Establishes oneself as the primary point of contact to address day-to-day inquiries. Engages clients in a proactive manner to address day-to-day questions related to account monitoring (e.g., what to prioritize, managing escalations, billing, compliance requirements, flags, or reactions), managing client needs, and addressing issues.
• Builds and maintains relationships with day-to-day client contacts as a trusted advisor throughout multiple levels.
• Seeks client feedback (both formal and informal) to identify and understand the drivers of satisfaction and understand the drivers of dissatisfaction, determine the root cause of problems, and remove blockers. Establishes recovery action plans to improve the client's overall experience and avoid future instances of dissatisfaction.
• Articulates Microsoft's strategy and other products and services, and educates clients on the Microsoft Advertising platform. Shares knowledge of the search landscape with clients to create a mutually-beneficial business value proposition and executes relevant solutions.
• Adopts Microsoft sales strategies (e.g., Challenger Sale) and handles main objections from clients. Works to overcome obstacles, sell tailored solutions, and secure buy-in and execution.
• Leverages Customer Relationship Management (CRM) tools (e.g., account management, opportunities, tracking, and reporting), other tools (e.g., customized performance dashboards, data, insights), and ad hoc opportunities to identify ways to keep up with account health, increase performance, satisfaction, and upsell opportunities to increase revenue.
• Collaborates with internal partners and peers to develop and implement strategies to identify and maximize upselling opportunities through value-proposition presentations and/or to help Account Executives accelerate the closing of deals.
• Proactively researches information about clients' advertising needs (e.g., advertising key performance indicators [KPIs]) to learn more about their competition and market trends. Identifies opportunities to drive optimizations and new solutions based on clients' advertising strategies.
• Presents tailored solutions based on clients' insights.
• Maintains knowledge of emerging industry trends beyond a singular product as well as of technology and key performance indicators (KPIs).
• Leverages competitive trends and shares knowledge with others as a subject matter expert.
• Embody and promote Microsoft’s and .

is committed to advancing cutting-edge AI technologies that enable deeper understanding and interaction with people, objects, and environments in the 3D real world. Our research spans a diverse range of areas, including computer vision, generative AI, 3D perception, and robotic action learning, among others relevant to Embodied AI. By pushing the boundaries of these domains, we aim to develop innovative solutions that bridge the gap between the digital and physical worlds, empowering AI systems to perceive, comprehend, and navigate complex real-world scenarios.

Required Qualifications:

• Currently enrolled in a PhD program in Robotics, Machine Learning, Computer Science, or a related STEM field.
• Research experience inembodied AI, robotics, AI models, natural language, computer vision, demonstrated for example through research in a related PhD program and/or publications in conferences or scientific journals.
• Hands-on experience with Python and modern deep learning frameworks.
• Excellent problem-solving skills and the ability to work independently as part of a team.
• Strong communication skills and the ability to present complex ideas clearly.

Other Requirements:

• Ability to physically work from Microsoft Research Asia – Tokyo (Japan) for the duration of the internship.
• Must obtain permission from your academic advisor and commit to at least four months of internship.

Preferred/Additional Qualifications:

• Proven software engineering skills, evidenced by professional experience, internships, and impactful open-source contributions.
• Practical experience with handling data and robot learning, such as experience in Vision-Language-Action modelsor Hand Object Interactions.
• Familiarity with1)robot learning for robot hand manipulationor 2) hand pose estimation techniques or 3) reasoning techniques (Chain-of-Thought) used in LLM.

• Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in Embodied AI.
• Design and implement experiments to test new hypotheses and validate research findings.
• Communicate research findings to an interdisciplinary research team.
• Prepare technical papers, presentations, and open-source releases of research code.

At , we believe machine learning and artificial intelligence has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society including sustainable materials and discovery of new drugs.

Required:

• PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or related field.
• Strong software engineering in Python (packaging, testing, CI), with systems thinking for data‑intensive ML.
• Deep learning experience (PyTorch/JAX/TensorFlow) and solid foundations in linear algebra, probability, and statistics.
• Proven experience designing robust data pipelines for large‑scale ML (HPC or cloud).
• Ability to reason about learning signal and to assess information content of real‑world scientific datasets.
• Excellent collaboration and communication in interdisciplinary teams.

Preferred:

• Hands‑on cryo‑EM experience (e.g., map reconstruction, refinement, or pipeline tooling).
• CUDA or C++ for performance‑critical components; experience with mixed precision and memory‑efficient training.
• Experience integrating experimental data into ML models (e.g., constraints/priors from cryo‑EM, binding assays, spectroscopy).
• Familiarity with MD data, structure prediction systems, or protein design work-flows.
• Experience with cost‑optimization for data collection and cloud utilization; clear track record of building reliable, maintainable research software at scale.
• Experience with structural biology or molecular biology data/techniques (e.g., cryo‑EM, binding assays, spectroscopy, expression, sequencing)

• Data integration for structure & dynamics: Build ingestion/curation pipelines for structural/biophysical data (mmCIF/PDB, EM maps/particles, binding/biophysics, spectroscopy); implement map/volume preprocessing (e.g., resolution filtering, normalization) and alignment to model inputs/outputs.
• Cryo‑EM expertise: Operationalize end‑to‑end flows from raw image stacks/particles to 3D maps and model‑ready tensors; interoperate with community formats (e.g., EMDB/EMPIAR, mmCIF) and link to sequences/annotations.
• Signal & information content: Design dataset diagnostics (e.g., mutual‑information‑like measures, effective sample size, SNR proxies) to quantify what data teach the model; build active‑learning loops that maximize learning per euro of data collection time.
• Model‑aware data services: Implement scalable, versioned data services and feature stores that feed training/evaluation; design loaders/augmentations optimized for throughput and correctness (GPU‑aware).
• Training‑at‑scale engineering: Own distributed data pipelines and orchestration for large runs on Azure; profile and tune I/O, storage tiers, data locality, and caching; monitor cost, utilization, and failure modes.
• Quality, governance, and reproducibility: Codify schemas/ontologies, metadata contracts, unit/integration tests, and lineage; automate validation and data drift detection; maintain documentation and examples.
• Partner across disciplines: Work closely with ML researchers, structural biologists, and drug designers; translate experimental constraints into robust computational workflows; communicate clearly and proactively.

Minimum Qualifications:

• Bachelor's Degree in Statistics, Mathematics, Computer Science or related field.
• OR 3+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection.
• 3+ years of software development/research experience utilizing knowledge of security/threat landscape Practical Windows internals knowledge (other OS experience may count).
• 1+ years of experience with Reverse Engineering: familiar with debuggers, disassemblers, protocols, file formats.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Statistics, Mathematics, Computer Science or related field.
• OR 4+ years experience in software development lifecycle, large-scale computing, modeling, cyber-security, and/or anomaly detection.
• Offensive security research experience.
• Digital forensics skills Programming skills in C, C++, C# or willingness to learn Industry recognized author of security research papers, blogs, or books Low-level/security knowledge of other operating systems.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until August 21, 2025.

As a Security Researcher II, you will:

• Research emerging attack vectors and techniques.
• Analyze detection and prevention gaps and understand root cause.
• Design and develop detection, prevention and disruption solutions to thwart advanced attacks.
• Synthesize in-field telemetry to judge the state of threat coverage and share insights.
• Identify trends, foresee landscape direction and propose enhancements to meet the needs.
• Collaborate across teams to address systemic security issues.
• Guide design of AI based solutions to tackle hard security problems.

You will be responsible for the design, development, and execution of an exciting research agenda in collaboration with other machine learning, engineers, clinicians, social scientists, and designers at Health Futures. To learn more about this opportunity, please visit:

Qualifications

• PhD in Machine Learning, Computer Science or related fields or equivalent experience.

Required

• Relevant years of experience working on a multidisciplinary team working on AI research for real world impact.
  
• Hands-on experience with large scale deep learning models and libraries (e.g., PyTorch, TensorFlow).
  
• Strong software development skills.

Preferred

• Publications at top conferences and journals such as: NeurIPS, ICML, ICLR, MICCAI, Nature, CVPR, ICCV, EMNLP, ACL.
  
• Experience with medical domains such as radiology, digital pathology, genetics, immunology.
  
• Machine learning expertise in multi-modal learning, large language models (e.g., alignment), reinforcement learning and/or domain adaptation and data-efficient learning.

The ideal candidate will have a strong intellectual curiosity and passion to solve real-world problems in healthcare and multi-modal AI The responsibilities will include:

• Advance multi-modal medical AI, empowering internal and external partners to build and deploy state of the art medical imaging AI to make clinical work-flows faster and safer and improve patient outcomes.
• Collaborate on design, implementation and evaluation of multi-modal machine learning solutions which consider key clinical factors and responsible AI.
• Support the strategic planning of the team by providing engineering and research leadership.
• Engage with external and internal collaborators to drive real world impact.

As an

Required Qualifications:

• Bachelor's Degree in Sales, Marketing, or related field AND experience in sales, advertising, or marketing with a focus on online media, or digital advertising
  • OR Master's Degree in Business Administration in Sales, Marketing, or related field AND experience in sales, advertising, or marketing with a focus on online media, or digital advertising
  • OR experience in sales, advertising, or marketing with a focus on online media, or digital advertising
  • OR equivalent experience.
• Experience in online media, digital advertising, or Search Engine Marketing Sales and Service experience.

Preferred Qualifications:

• Bachelor's Degree in Sales, Marketing, or related field AND experience in sales, advertising, or marketing with a focus on online media, or digital advertising
  • OR Master's Degree in Business Administration in Sales, Marketing, or related field AND experience in sales, advertising, or marketing with a focus on online media, or digital advertising
  • OR equivalent experience.
• Experience making recommendations to mid- to senior- level executives

• You will develop, lead and execute MSA sales strategy & priorities to enable client growth of existing and new products. Purposefully positions outcomes within the context of the client’s digital marketing journey from current to future state.
• You will work to influence CMO and Chief Digital Marketing Stakeholders through Relationship Building as a compelling storyteller, leading with emotional intelligence, communicating with confidence and by effectively listening to identify clients’ end to end needs.
• You will lead Sales planning with the Account v-team including achieving sales targets and increasing existing budgets while also opening new share of wallet opportunities with Audience ads and other incubations products and ensure shared accountability for sales targets with the v-team. Works in partnership with v-team to bring the best resources to ensure deal success.
• You will expand the client's view of the importance of MSA products and concede negotiables in an order that ensures both parties feel they are winning. Effectively maintains good working relationships with those involved in negotiation; persuading others without using manipulation and maintaining a positive atmosphere during difficult objections & negotiations.
• You will lead the update of pipeline reviewing top new opportunities, identifying roadblocks, and ensures the right resources are engaged to overcome client objections.
• You will execute sales per expectations against pipeline, new client, and opportunity management goals per the MSA Solution Selling process for new deals, driving for client verifiable outcomes at each stage.

• 2-3 years of experience in security research, detection engineering, threat lifecycle, cloud security in large-scale in complex cloud environments, as well as disciplines related to managed services for SIEM platforms.
• Proven ability to execute advanced research on emerging cloud-based threats affecting both Microsoft and third-party security products across heterogeneous cloud environments.
• Demonstrated experience in developing and refining detection and response strategies leveraging major SIEM platforms, with a strong emphasis on Microsoft Sentinel, to provide comprehensive threat coverage and response capabilities.
• Extensive hands-on experience with cloud platforms—including, but not limited to, Azure—as well as an understanding of multi-cloud security challenges and solutions.
• Strong practical experience identifying, analyzing, and mitigating real-world cyber threats in complex cloud environments.
• Proven ability to work independently and deliver complete solutions.
• Demonstrated capability to effectively articulate technical insights and influence multidisciplinary teams

Responsibilities include:

• Execute advanced research on emerging cloud-based threats impacting Microsoft and third-party security products across heterogeneous cloud environments.

• Develop and refine detection and response strategies leveraging major SIEM platforms, with a strong emphasis on Microsoft Sentinel, to provide comprehensive threat coverage and response capabilities.

• Collaborate with internal and external security teams to implement scalable, innovative solutions for multi-cloud threat intelligence, detection, mitigation and response.

• Translate complex raw security data into actionable intelligence that enhances the effectiveness of cloud security operations for a global customer base.

• Mentor, guide, and drive best practices among researchers and detection engineers on advanced threat hunting and incident response across diverse SIEM ecosystems.

• Contribute to industry knowledge and Microsoft’s security posture by publishing research, developing threat models, and proactively identifying threats and attack trends in the cloud.