生物塑料供应链优化博士职位

PhD Studentship - Optimising Sustainable Bioplastic Supply Chains: Modelling Nanocellulose Production in the UK

The University of Manchester · 英国 · Manchester

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。

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研究内容
该博士项目将开发先进的计算模型,以解决生物塑料供应链的可持续性和成本问题,重点关注英国的纳米纤维素生产。
申请条件
至少 upper second-class Honours 学位(或同等学历)化学工程、机械工程、工业工程、运筹学或相关学科;强大的量化和分析能力;独立工作和时间管理能力;良好的书面和口头沟通能力;解决可持续性和气候挑战的动力。
待遇
每年税前津贴 £20,780(2025/26 年度),学费将被支付。
申请方式
请联系导师 Dr Samantha Islam 和 Prof Paul Mativenga,发送邮件至 samantha.islam@manchester.ac.uk 和 p.mativenga@manchester.ac.uk,包括当前学习水平、学术背景和相关经验,以及一段关于研究动机的文字。
材料清单
  • 当前学习水平
  • 学术背景
  • 相关经验
  • 研究动机

由 @cf/meta/llama-3.3-70b-instruct-fp8-fast 生成,博士岗判定置信度 90%。

结构化信息

截止
(Europe/London) 剩 89 天
学科
化学工程
合同类型
雇佣合同
原文薪资
GBP 20,780 / 年(税前)
税后月薪(估)
¥13,100;房租后 ¥4,800
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
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内容更新
导师
Dr Samantha Islam and Prof Paul Mativenga
来源
jobs.ac.uk(英国博士项目及学术招聘) · 最近核对 2026-10-07
判定依据(原文摘录)
  • is_phd
    This 3.5-year PhD studentship
  • english_ok
    Good written and verbal communication skills
  • bachelor_ok
    A minimum of an upper second-class Honours degree
原文

Application deadline: All year round

UK students only

This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. The start date is September 2026.

This studentship is funded through the Department’s new starter allocation.

We recommend that you apply early as the advert will be removed once the position has been filled.

Plastics production and disposal generate around 1.8 billion tonnes of greenhouse gas emissions annually, with an estimated 6.1 million tonnes entering oceans. This has driven growing demand for bioplastics as lower-emission, biodegradable alternatives. Yet, large-scale commercialisation of bioplastics faces environmental and economic challenges.

Current feedstocks pose trade-offs: edible crops such as maize and sugarcane raise food security concerns, while non-edible residues such as wood chips or fruit peels compete with animal feed and bioenergy uses. In addition, the biomass supply chain is complex and multi-actor, involving farms, pre-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions.

This PhD project will develop advanced computational models to address these combinatorial decision challenges, with a specific focus on nanocellulose production in the UK. By exploring different feedstock options, supply chain configurations, and process pathways, the research aims to identify strategies that enhance both sustainability and cost-effectiveness. The outcomes will inform the design of robust, low-carbon bio-based supply chains that support the UK’s transition to a circular economy.

• A minimum of an upper second-class Honours degree (or equivalent) in Chemical Engineering, Mechanical Engineering, Industrial Engineering, Operations Research, or a related discipline

• Strong quantitative and analytical skills

• Ability to work independently and manage time effectively

• Good written and verbal communication skills

• Motivation to address sustainability and climate challenges in engineering

Desirable:

• Experience with mathematical modelling, optimisation techniques, or supply chain analysis

• Background knowledge in bio-based materials, biorefineries, or circular economy systems

• Prior research experience (e.g., undergraduate or master’s project) relevant to engineering sustainability

• Evidence of teamwork and collaboration in academic or professional settings

To apply, please contact the supervisors: Dr Samantha Islam - samantha.islam@manchester.ac.uk and Prof Paul Mativenga - p.mativenga@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.

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