机器学习引导的定向进化方向博士职位
Three PhD positions in ML-guided directed evolution
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
- 项目旨在将定向进化与深度学习方法相结合,通过机器学习使定向进化可指导且可预测,从而加速生物分子和催化剂的设计。
- 申请条件
- 申请者需持有(生物)化学、生物技术、计算化学、合成化学/生物学或相关领域的理学硕士学位(MSc),具备定向进化或分子机器学习等相关经验者优先。
- 待遇
- 提供全职4年制博士雇佣合同,根据荷兰大学集体劳动协议,月薪在€3.204至€4.051之间,并享有年终奖、假期津贴及232小时年假。
- 申请方式
- 申请者需通过网申系统提交申请,截止日期为2026年10月15日。
- 材料清单
- 求职信
- 个人简历
- 学位证与成绩单
- 两位学术推荐人的联系方式
由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。
结构化信息
- 截止
- 原帖未给出
- 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
- EUR 3,204–4,051 / 月(税前)
- 税后月薪(估)
- ¥19,000–¥24,000;房租后 ¥11,100–¥16,100
- 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 25%;汇率日期 2026-10-01
- 本站收录
- 内容更新
- 导师
- Clemens Mayer
- 来源
- University of Groningen 官方招聘 · 最近核对 2026-10-08
- 详情核验
判定依据(原文摘录)
- is_phd
Three PhD positions in ML-guided directed evolution
- english_ok
Deze vacature is alleen beschikbaar in het Engels
- bachelor_ok
• An MSc degree (or an equivalent university degree) in (Bio)chemistry, Biotechnology, Computational Chemistry, Synthetic Chemistry/Biology or a related field.
原文
Three PhD positions in ML-guided directed evolution
Solliciteer nu
PhD Three PhD positions in ML-guided directed evolution
Deze vacature is alleen beschikbaar in het Engels Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio)catalysts and drugs? We are offering three fully-funded, 4-year PhD positions at the University of Groningen or the Technical University of Eindhoven.
Faculty of Science and Engineering
Solliciteer uiterlijk: 15 October 2026 23:59 Dutch local time
1 fte
€3.204 - €4.051
Deel deze vacature
Three PhD positions in ML-guided directed evolution
Solliciteer nu
https://werkenbij.rug.nl/vacature/three-phd-positions-in-ml-guided-directed-evolution-2341/
What are you going to do?
Evolution is an all-purpose problem solver, which researchers mimic in the laboratory to engineer tailor-made (bio)molecules that aid us in combating diseases and in realizing a sustainable economy. While effective, such directed evolution campaigns are not only laborious and time-consuming, but also cover only a miniscule fraction of the unimaginably large sequence space available. As a result, means to guide evolutionary trajectories along a biomolecule’s fitness landscape are sought-after, as they could greatly accelerate evolutionary searches.
Within the framework of the recently funded ML-GUIDE project, we will make directed evolution guidable and, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio)catalysts for synthetic applications. By seamlessly merging cutting-edge directed evolution, next-generation sequencing, and deep learning approaches, you will establish accelerated Design-Build-Test-Learn cycles to continuously improve models via active learning and guide evolutionary trajectories toward promising but otherwise inaccessible sequence spaces.
You will be embedded in one of the three research groups involved in the ML-GUIDE project and focus your efforts on guiding engineering efforts for one particular biomolecule and its associated function.
(1) Dr. Robert Pollice ( https://pollicegroup.web.rug.nl/ ) leads the Artificial Organic Chemistry Lab at the University of Groningen and will supervise a project focusing on developing efficient peptide catalysts for powerful C-C-bond forming reactions.
(2) Prof. Francesca Grisoni ( https://molecularmachinelearning.com/ ) leads the Molecular Machine Learning Group at the Technical University Eindhoven and will lead a project on designing potent cyclic-peptide drugs for therapeutic intervention.
(3) Prof. Clemens Mayer ( https://mayerlab.nl/ ) leads the Molecular Evolution Group at the University of Groningen and will tackle a project on making the directed evolution of biocatalysts predictable by machine learning.
As part of the ML-GUIDE team, you will closely collaborate with researchers to identify commonalities and distinct aspects of engineering biomolecules for diverse applications!
The preferred starting date is between 01-11-2026 and 01-03-2026 .
Who are you?
We are looking for creative, motivated, and determined candidates, who meet the following requirements:
• An MSc degree (or an equivalent university degree) in (Bio)chemistry, Biotechnology, Computational Chemistry, Synthetic Chemistry/Biology or a related field.
• Experience in one of the following areas is highly preferred: directed evolution, molecular machine learning, next-generation sequencing, or synthetic chemistry.
• An interest in working as part of a highly interdisciplinary team at the interface of synthetic biology, molecular machine learning, and synthetic chemistry.
• A research-oriented attitude with good analytical skills.
• Excellent communication and organization skill.
What can you expect from us?
• In accordance with the collective labor agreement for Dutch universities, we offer a salary of at least € 3.204
up to a maximum of € 4.051 (promovendus) gross per month for a full-time employment contract.
• 232 vacation hours per year, based on a 38-hour workweek (1.0 FTE). You can also work more or fewer hours in exchange for more or fewer free hours. For example, with a 40-hour workweek, you save 96 extra free hours, and with a 36-hour workweek, you lose 96 hours.
• End-of-year bonus of 8.3% and 8% holiday allowance.
• Extensive opportunities for personal and professional development.
• Promovendus: 1 year + 3 year
Where will you be working?
At the University of Groningen (UG), researchers from all fields of academia and technology are working on academic challenges and societal questions. Lecturers prepare their students for meaningful careers within or outside the academic world. Interdisciplinary research and teaching, sharing of knowledge, collaboration with businesses, government institutions, and societal organizations are aspects that are of the utmost importance to this European top university. The UG aims to be an open academic community with an inclusive and safe working climate that invites you to add your value.
The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and pharmacy. In close collaboration with partners from industry, healthcare, and society, we contribute to the urgent challenges of our time, such as energy, sustainability, digitization, and medical technology. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and Engineering, visit rug.nl/fse .
The University of Groningen is a research university, currently in or around the top 100 on several influential ranking lists. The Faculty of Science and Engineering (FSE) is the largest faculty within the University, offering first-rate education and research in a wide range of science and engineering disciplines. In this position, you would be embedded in the Stratingh Institute for Chemistry .
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to develop innovative solutions to complex societal challenges. In this position, you would be embedded in the Institute for Complex Molecular Systems and in the Eindhoven AI Systems Institute .
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array(5) { [0]=> array(2) { ["titel"]=> string(16) "Your application" ["uitleg"]=> string(76) "After submitting your application, you will receive a confirmation by email." } [1]=> array(2) { ["titel"]=> string(9) "Selection" ["uitleg"]=> string(136) "The selection committee assesses your application and you will be notified as soon as possible whether you are invited for an interview." } [2]=> array(2) { ["titel"]=> string(15) "First interview" ["uitleg"]=> string(119) "We would like to get to know each other better in a first interview, which can take place either online or on location." } [3]=> array(2) { ["titel"]=> string(60) "Second interview and possible assessment or guest lecture " ["uitleg"]=> string(143) "We may schedule a second interview with you. Depending on the position, this interview can be complemented with an assessment or guest lecture." } [4]=> array(2) { ["titel"]=> string(27) "Terms of employment meeting" ["uitleg"]=> string(167) "After a positive interview, we will discuss the terms of employment together. When everything is completed, we are happy to welcome you at the University of Groningen!" } }
Application procedure
Step 1: Your application
After submitting your application, you will receive a confirmation by email.
Step 2: Selection
The selection committee assesses your application and you will be notified as soon as possible whether you are invited for an interview.
Step 3: First interview
We would like to get to know each other better in a first interview, which can take place either online or on location.
Step 4: Second interview and possible assessment or guest lecture
We may schedule a second interview with you. Depending on the position, this interview can be complemented with an assessment or guest lecture.
Step 5: Terms of employment meeting
After a positive interview, we will discuss the terms of employment together. When everything is completed, we are happy to welcome you at the University of Groningen!
Interested?
Does this vacancy appeal to you? If so, click on the button below and apply straightaway.
Please add the following documents to your application:
• A letter stating (1) your motivation to apply, (2) your key qualities relevant for this position, and (3) which research group in the ML-GUIDE consortium you would like to join.
• An up-to-date curriculum vitae.
• Diplomas (BSc and Msc (if available)) and transcript of records.
• Contact information of two academic references.
Apply now
Do you have any questions or need more information?
• Questions about the content of the job?
Clemens Mayer
Associate Professor
C.Mayer@rug.nl
• Questions about your application process?
Clemens Mayer
Associate Professor
C.Mayer@rug.nl
Information about applying
When scheduling meetings, we will take your schedule into account as much as possible.
The University of Groningen considers social safety important. We strive to be a university where staff and students feel respected and at home, regardless of differences in background, experiences, perspectives, and identity. For more information, see also our page about our diversity policy .
Acquisition is not appreciated.
Our selection procedure follows the guidelines of the NVP Application Code.
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