招聘简介：

工程学院是MMU理工学院的一个大型和成功的单位。致力于实现高质量的教学、科研和企业。该校在获得研究委员会和行业的资助方面有着悠久的历史，并对该校提交的2014年参考文献做出了重大贡献。学校与雇主密切合作，尤其是在工业4.0相关项目的迷人领域。

我们正在寻找一位热心的研究人员，以加速我们对工业物联网（IIOT）技术的集成及其在从大数据集中提取条件相关特征方面的应用的研究。该项目预计将为工业4.0应用及其基础技术开发新的机器学习和人工智能算法。

候选人将加入智能基础设施研究主题团队，该主题包括工业物联网的子主题，并关注工具和方法的开发，以解决智能工厂、自适应控制和监控系统以及智能制造（工业4.0）的挑战。

我们任命的人员将负责按照项目协调员的指示管理预先定义的研究项目。

英文原文：

The School of Engineering is a large and successful unit in MMU’s Faculty of Science and Engineering. It is committed to achieving high quality teaching, research and enterprise. The School has a long track record of securing grants from research councils and industry, and made a significant contribution to the University's REF2014 submission. The School works closely with employers, particularly in the fascinating field of Industry 4.0 related projects.

We are looking for an enthusiastic researcher to accelerate our research on the integration of Industrial Internet of Things (IIoTs) technologies, and their application to extracting condition related features from big data sets. The project is expected to develop novel machine learning and artificial intelligence algorithms for industry 4.0 applications and its underpinning technologies.

The candidate will join the team working in the Intelligent Infrastructure research theme, which comprises the sub‐topics of Industrial Internet of Things and concerns the development of tools and methodologies to address challenges in smart factories, adaptive control and monitoring systems and smart manufacturing (Industry 4.0).

The person we appoint will be responsible for the management of a pre-defined research project as directed by the project coordinator.

Qualifications and skills:

· PhD in IT, software engineering or a closely related area.

· Excellent knowledge of advanced data analysis methods.

· Very good communication and writing skills.

· Proven track record in peer-reviewed publications.

· Ability to work as part of a joint academia and industry team.

About ideal applicant:

In addition to the above mentioned qualifications, the applicant will need to demonstrate adaptability due to the multi-disciplinary nature of the work, and the capacity to carry out experimental work safely, and with precision. An ability to work as part of a diverse team, to meet deadlines and produce reports and presentations of a high standard to a range of audiences is essential. Ability to critically evaluate their own work, a willingness and ability to travel is an advantage, as the project may involve a short period of work at collaborating groups.

To apply: Please attach your CV and covering letter to the online portal detailing how you meet the person specification. Informal enquiries are welcome by contacting Dr. Alhussein Albarbar at a.albarbar@mmu.ac.uk