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<html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1"><title>Join DIG — Discovery Intelligence Group</title><meta name="description" content="Join the Discovery Intelligence Group at Peking University."><link rel="icon" href="assets/dig-logo.svg"><link rel="stylesheet" href="assets/site.css"></head><body>
<nav class="site-nav"><div class="nav-in"><a class="brand" href="index.html"><img src="assets/dig-logo.svg" alt="DIG"><span><span class="name">DIG</span><span class="sub">Discovery Intelligence Group</span></span></a><button class="menu-btn" aria-label="Toggle navigation">☰</button><div class="nav-links"><a href="research.html">Research</a><a href="people.html">People</a><a href="projects.html">Projects</a><a href="publications.html">Publications</a><a href="join.html" class="nav-cta">Join DIG</a></div></div></nav>
<header class="page-hero"><div class="wrap"><div class="kicker">Join DIG · 加入我们</div><h1>Do research with ownership.</h1><p>We continuously recruit highly self-motivated Master's students, PhD students, postdoctoral researchers, and research interns. We are especially interested in people who want to move from executing tasks to defining questions and building research directions.</p><div class="hero-actions"><a class="btn primary" href="mailto:yangling0818@163.com?subject=Application%20to%20DIG">Email your application →</a></div></div></header>
<main class="section"><div class="wrap page-grid"><aside class="side-nav"><a href="#who">Who we look for</a><a href="#roles">Roles</a><a href="#apply">How to apply</a><a href="#culture">Research culture</a><a href="#collaboration">Collaboration</a></aside><article class="article">
<section id="who"><h2>Who we look for</h2><p>We value research drive, technical depth, ownership, and the ability to ask increasingly better questions. Strong candidates do not need to arrive with experience in every DIG direction, but they should be able to learn quickly and push a problem beyond an assigned checklist.</p><div class="metric-grid"><div class="metric"><b>Drive</b><span>Self-motivated and persistent</span></div><div class="metric"><b>Depth</b><span>Strong technical reasoning and implementation</span></div><div class="metric"><b>Taste</b><span>Ability to identify meaningful research problems</span></div></div><h3>Relevant backgrounds</h3><ul><li>Large language models, post-training, RLHF / GRPO, reward modeling, verifiers.</li><li>Agent systems, tool use, long-horizon interaction, memory, skills, and harnesses.</li><li>Machine learning systems, distributed training / inference, RL infrastructure.</li><li>AI for Science, scientific reasoning, experimentation, or domain-specific discovery.</li></ul></section>
<section id="roles"><h2>Open roles</h2><h3>PhD students</h3><p>For students who want to build a coherent multi-year research agenda around post-training, reinforcement learning systems, recursive self-improvement, or discovery intelligence.</p><h3>Master's students</h3><p>For research-oriented students who want to develop strong technical foundations and transition toward independent research.</p><h3>Postdoctoral researchers</h3><p>For researchers who can own a major direction, mentor junior members, and help shape the group's research identity and infrastructure.</p><h3>Research interns</h3><p>Online and on-site research internships are available. Strong interns are expected to work on real research problems and contribute to papers, systems, or open-source artifacts rather than isolated engineering tasks.</p></section>
<section id="apply"><h2>How to apply</h2><p>Email <a href="mailto:yangling0818@163.com"><strong>yangling0818@163.com</strong></a>. A concise application is preferred.</p><h3>Please include</h3><ul><li>Your CV or academic resume.</li><li>Your current institution, degree stage, and expected availability.</li><li>Links to representative papers, code, projects, or technical work.</li><li>One short paragraph on the research problems you most want to work on.</li><li>For interns: expected duration and whether you prefer online or on-site work.</li></ul><p>You do not need a long cover letter. Clear evidence of what you have built, understood, or discovered is more useful.</p></section>
<section id="culture"><h2>Research culture</h2><p><strong>Problem ownership.</strong> The goal is to learn how to define research, not only finish assigned tasks.</p><p><strong>High iteration speed.</strong> We value fast experimental loops, but speed should increase understanding rather than replace it.</p><p><strong>Systems mindset.</strong> Papers, code, environments, models, evaluation, and training infrastructure are all part of the research object.</p><p><strong>Open impact.</strong> We encourage artifacts that other researchers can actually use and extend.</p><p><strong>Global collaboration.</strong> Strong students will be encouraged to participate in cross-institution research, international exchange, and collaboration with academic and industrial research teams.</p></section>
<section id="collaboration"><h2>Academic & industrial collaboration</h2><p>DIG welcomes collaboration with academic groups, frontier AI labs, and scientific domain teams on problems aligned with our research agenda. For research collaboration, please contact <a href="mailto:yangling0818@163.com">yangling0818@163.com</a>.</p><h3>中文</h3><p>长期招收积极主动、具有较强研究驱动力的博士生、硕士生、博士后和研究实习生，同时欢迎学术界与产业界开展科研合作。欢迎通过邮件联系并附上个人简历、代表性成果以及感兴趣的研究问题。</p></section>
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<section class="section"><div class="wrap"><div class="callout"><div><div class="kicker">Apply</div><h2>Your first email can be short. Your research ambition should not be.</h2><p>Send your CV, representative work, and the research question you most want to pursue.</p><div class="hero-actions"><a class="btn" href="mailto:yangling0818@163.com?subject=Application%20to%20DIG">yangling0818@163.com</a></div></div><div class="callout-note"><b>DIG · Peking University</b>Discovery Intelligence Group<br>Beijing, China</div></div></div></section>
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