设计植物基因表达与可解释人工智能博士研究员（Norwich Research Park Biosciences DTP 奖学金）
PhD Studentship: Designing Plant Gene Expression with Explainable AI
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
AI 中文速览
- 研究内容
- 本项目旨在通过可解释人工智能发现足以经受实验检验的植物DNA“设计规则”，并结合植物基因组学与工程生物学，在马铃薯原生质体测定中测试顺式调控模块文库。
- 申请条件
- 申请者需至少具备英国同等学力本科（荣誉）2:1学位，并满足英语语言要求（理学院同等标准：雅思总分 6.5，单项不低于 6）。
- 待遇
- 提供为期 4 年的 Norwich Research Park Biosciences DTP 博士奖学金，包含学费支付、生活津贴（2026/27年度津贴标准为每年 21,805 英镑）以及每年 5,000 英镑的研究培训支持补助金（RTSG）。
- 申请方式
- 请点击上方的“Apply”按钮进行申请，截止日期为 2026年11月30日，项目开始日期为 2027年10月1日。
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 截止
- （Europe/London） 剩 37 天
- 学科
- 生物化学、遗传与分子生物学
- 合同类型
- 雇佣合同
- 原文薪资
- GBP 21,805 / 年（税前）
- 税后月薪（估）
- ¥13,700；房租后 ¥5,400
- 估算假设
- 单身、无子女、雇佣合同的粗略估算，以学校 offer 为准；扣除率 18%；汇率日期 2026-10-01
- 原帖发布
- 本站收录
- 内容更新
- 原帖导师候选（待核验）
- Ke Li, Anthony Hall, Carolina Grandellis
- 来源
- jobs.ac.uk（英国博士项目及学术招聘） · 最近核对 2026-10-23
- 详情核验
判定依据（原文摘录）
- 这是一项博士培养机会
This PhD asks an ambitious question: can explainable AI discover plant DNA “design rules” that are strong enough to survive experimental testing?
- 英语要求明确
English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category).
- 允许学士学位申请
At least UK equivalence Bachelors (Honours) 2:1.
原文
Plants survive drought, heat and disease by rapidly changing which genes are switched on, where, and when. But we still cannot reliably design the regulatory DNA that controls these expression patterns. This PhD asks an ambitious question: can explainable AI discover plant DNA “design rules” that are strong enough to survive experimental testing?
You will join Earlham Institute’s AI for Biology group led by Professor Ke Li. As one of the most active AI groups in the UK, you will work in a highly supportive and collaborative group, equipped with unique technical platforms for building in-house large-scale foundation models. You will receive scientific training in foundational AI methods and push the boundary of AI for biology. Meanwhile, you will also develop skills in experimental design, reproducible software and FAIR data management.
You will also obtain complementary experience in plant genomics and engineering biology, supported by Prof. Anthony Hall’s plant genomics expertise and Dr Carolina Grandellis’s Earlham Biofoundry team. You will collaborate with experimentalists on the design of compact libraries of cis-regulatory modules, assemble them into a standard reporter system and test them in potato protoplast assays. Successful and failed designs will both be valuable: they will reveal which AI-derived rules are biologically meaningful, where models fail, and how future design cycles should be improved.
The project will be conducted at the Earlham Institute, a world-class BBSRC research centre of excellence in genomics, engineering and computational biology, and AI. You will join a highly collaborative and supportive research community, interact with AI researchers, plant scientists, bioinformaticians, automation specialists, and have access to training and career development opportunities across the Norwich Research Park through the Norwich Research Park Biosciences Doctoral Training Partnership.
Entry requirements
At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category).
Start date: 1 October 2027
Funding Details
This project is awarded with a 4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD DTP studentship. The studentship includes payment of tuition fees (directly to the University), a stipend to cover living expenses (2026/27 stipend rate: £21,805, and a Research Training Support Grant of £5,000pa for each year of the studentship.
For further information please click on the ' Apply ' button above.
Closing Date: 30/11/2026 £21,805 p.a.