Available for supervising PhD students willing to conduct research on optimization, on-demand logistics, and sharing economy.

View Alp's profile

João is open to supervise Doctoral research students interested in topics related with digital transformation of organisations, digital working and organisational transformation, digital strategy and information systems security in organisations, changing ways of working and modern organising and strategising. He prefers qualitative methods and case based research methodologies but is open to a variety of methods depending on research focus and questions.

View Joao's profile

All empirical topics related to supply chain management and procurement, particularly with an emphasis on sustainability, risk and innovation.

View Constantin's profile

Available for supervising PhD students willing to conduct research on carsharing systems.

View Burak's profile

I am available for supervising PhD students interrested in research on time series prediction, i.e. forecasting, but also time series classification, time series clustering, and anomaly detection in time series (i.e. time series data minig) in business applications. Many PhD projects focus on innovative algorithms from artificial intelligence and machine learning (AI/ML), e.g. deep and shallow neural networks, but also k-nearest neighbours, support vector regression, decision trees, and many other algorithms. Relevant topics include automatic data exploration, forecasting model selection and ensembles (i.e. boosting, bagging, etc), and promising approaches such as meta learning, active learning, and transfer learning, which are underrepresented in forecasting research. As field of business applications many focus on industry or retail demand data, but also services, lead times, raw material prices, In the past years I have successfully supervised 7 PhD students, 3 of which are now academics at renowned UK universities. All PhD students in forecasting are actively involved in research development, seminars, ideas exchange and team activities of 5-10 PhD students and 7 academics, all with a strong focus on forecasting, at CMAF, the Research Centre for Forecasting (and Marketing Analytics) and within the department of Management Science. If you are a national or international applicant (m/f/d) with a quantitative background in management studies, operational research/management science, industrial engineering or electrical engineering, information systems, computer science or other disciplines, you are very welcome to INFORMALLY ENQUIRE AT ANY TIME by email to me, s.crone@lancaster.ac.uk (ideally with a short CV and your research interrest). I look forward to hearing from you!

View Sven's profile

I have been supervising PhD and professional doctorate research in the following areas: project management, programme management, project success and failure, agile development and management, benefits and value in projects, information systems, development life cycles and processes. Please get in touch if you would like to discuss a research area or a specific topic.

View Darren's profile

I am willing to supervise PhD students interested in heuristic methods and/or exact algorithms for Combinatorial Optimisation Problems. Experience in programming is highly desirable.

View Thu's profile

I am seeking highly motivated PhD students in circular economy and sustainable supply chain management areas. Existing research opportunities include: circular ecosystems, closed-loop supply chains, the role of digital platform in circular transition, NGO-business partnership for circularity, and impacts of legislation on circularity.

View Nhu Quynh's profile

I am available to supervise PhD students on various topics within operations management in the humanitarian and public sector. I am also interested in Global South perspectives on contemporary supply chain issues like child labour, slavery, resilience, and sustainability. I am also interested in co-supervising interdisciplinary research incorporating Operations Management as well as mixed methods approaches.

View Nonhlanhla's profile

I am always willing to supervise PhD students interested in working on topics related to optimisation with multiple objectives. In particular, I usually have topics related to such problems in medicine and transportation.

View Matthias's profile

I am interested in supervising PhD research projects in Supply Chain Risk/Resilience and Buyer-Supplier Relationships.

View Yiyi's profile

Dr. Fayoumi welcomes postgraduate and research students interested in procuring their research study under one of the research areas within his research interests. The following list specifies some topics that are of direct interest to Dr. Fayoumi: · enterprise modelling and enterprise architecture · applying natural science theories to explore socio-technical complex relations · model driven requirements engineering · design and architect of enterprise information systems (both process and applications) · knowledge engineering, particularly methods of transformation knowledge from informal to formal models · model-based organisation (conceptual modelling, metamodelling, logic formulation, and simulation) · strategic information systems and decision support systems.

View Amjad's profile

I am interested in supervising further Ph.D students in the Sustainable Supply Chain Management area. In particular, there are opportunities to investigate: the impact of Modern Slavery Legislation on social sustainability in the Supply Chain; and Buyer-Supplier contracting for Sustainable Supply Chain Management.

View Linda's profile

I am interested in supervising Ph.D students in the area of Information Systems, in particular digital health innovation. My research is interdisciplinary, human-centered and problem-driven. I am interested in the design, development and evaluation of health information systems, users’ behavioural analysis and technology adoption models. Candidates should have strong background in qualitative and/or quantitative methodologies and be motivated in solving real-world problems in public health systems and processes. Please contact me directly by email if you are passionate about improving the quality of care for patients and assisting healthcare professional in their day-to-day jobs through the use of digital tools.

View Mahsa's profile

Willing to supervise PhD students in supply chain resilience, disruption management, supply chain complexity, and Innovative technologies in SCM areas.

View Anas's profile

I always welcome students with strong quantitative (mathematics, computing, statistics, etc.) background interested in solving problems in the design and management of complex systems. In particular, you will be looking for carrying out research in areas such as operational research, performance evaluation, stochastic modelling, approximate dynamic programming, queueing theory, applied probability, and/or machine learning, motivated by real-world problems in business decision-making, public health proccesses or communications networks. Currently I am specifically looking for students interested in research on the optimal design and conduct of sequential experiments and modern adaptive clinical trials (such as platform, umbrella and basket trials), which can be modelled as multi-armed bandit problems. I have co-supervised around 10 PhD students, some of which have received awards for their research. PhD funding is available through the Department of Management Science and through the STOR-i Doctoral Training Centre. If you are a self-funded PhD applicant (or a master/PhD student elsewhere interested in visiting me for a short period), please contact me directly by e-mail.

View Peter's profile

I am looking for students interested in applying operations research techniques to tackle urban transportation and logistics challenges and promote sustainable development. Talent students with ambitions to create fundamental methodological contributions and enjoy reading, mathematical modelling, coding, Star Wars are strongly encouraged to apply. CSC students will be considered subject to a mutually agreed study plan. Please contact me as early as possible due to the limited quota.

View Yu's profile

I am looking for PhD students to work on heuristic methods for combinatorial optimisation problems.

View Ahmed's profile

I welcome applications from prospective PhD students whose research interests fall broadly within "decision making under uncertainty", including methods such as stochastic dynamic programming, (stochastic/robust) optimisation, simulation and approximate dynamic programming/reinforcement learning. Projects concerning practical Operational Research problems in which these methods can be applied are of particular interest.

View Christopher's profile

Most of my PhD students work on exact solution algorithms for NP-hard optimisation problems. Candidates need to be comfortable with mathematics. Experience in programming (in, e.g., C, Julia, MatLab or Python) is highly desirable, as is basic knowledge of linear algebra and graph theory.

View Adam's profile

I am always looking for aspirational PhD students who are interested in pursuing research in the following areas: revenue management and dynamic pricing, reinforcement learning applied in particular to sharing/platform economy, and healthcare operations management. I also welcome PhD students elsewhere who work in these or similar areas for a short period of visit at Lancaster. PhD funding is available through the Department of Management Science and through the STOR-i Doctoral Training Centre. More information can be found in the Lancaster University Management School webpage. For informal discussions please feel free to contact me by email.

View Dong's profile

I am looking for Ph.D. students who are interested in studying operations problems such as contracting in the gig and sharing economy, operations management, and supply chain management. I have been supervising (first supervisor) Ph.D. students since 2018. I have experience in guiding both students with a quantitative background and students with a qualitative background.

View Xishu's profile

I am looking to supervise 1-2 students every year who are interested in the intersections between some of the following areas: Supply chain sustainability, particularly in developing or transitioning economies; Resilience and sustainability in urban food systems; Sustainability and Digital Economy; The environmental and social impacts of China's Belt and Road Initiative; ESG performance and supply chain sustainability/risks. Pre-proposal inquiries are welcome. Before reaching out, please review the following details carefully: When contacting me, please explicitly state whether you require funding. If you seek funding from LUMS, ensure your application reaches us before January 202X (each year) to potentially receive an offer for October 202X entry. This includes CSC funding. If you are currently studying a master degree and will not receive all your transcripts and your degree before August 202X, it is not likely that I can help you get LUMS funding for October 202X entry. Additionally, I accept PhD students interested in pursuing a degree at Lancaster Environment Centre or other LU related departments. If you follow this path, it’s essential to secure your own funding sources. I am sorry but I do not make the rules.

View Lingxuan's profile

I am looking for PhD students to work in the broad area of optimisation. Experience in computer programming is highly desirable.

View Guglielmo's profile

Digital Leadership; Online collaborations, Digital Health; Digital Workplace Transformation; Qualitative Research Methods

View Niki's profile

I am currently looking for a potential PhD student who is interested in theoretical forecasting, especially in model estimation, multivariate and univariate statistical forecasting models, and hierarchical forecasting.

View Kandrika's profile

I am interested in supervising students in the area of simulation, particularly focussing on simulation optimisation or other methodological issues associated with the analysis of simulation models. I am also interested in applying simulation optimisation to real problems, sometimes in combination with other modelling approaches.

View Luke's profile

I’m always looking for motivated students who are interested in pursuing a PhD. Candidates should have a strong quantitative background (mathematics, Operations Research, Management Science, statistics, computing) and be interested in solving problems of high practical and academic relevance.

View Anna-Lena's profile

I am interested in supervising PhD research projects in the following areas: 1. Buyer-supplier relationships 2. Performance-based contracting 3. Procurement of innovation (in public or private sector settings) 4. Pharmaceutical supply chains 5. Contracting for sustainability and social value

View Kostas's profile

I am interested in supervising PhD students whose research topics are related to one or more of the following areas: queueing theory, Markov decision processes, approximate dynamic programming, simulation optimisation, reinforcement learning.

View Robert's profile

I am interested in supervising PhD students in the Behavioural Operations area. In particular, topics connected with human behaviour towards algorithms, its adoption, trust issues, decision support systems and their designs.

View Anna's profile

Supply Chain Flexibility; Supply Chain Risk and Resilience; Socially Sustainable Supply Chain Management; Modern Slavery; High-Variety Production Planning and Control.

View Mark's profile

I am looking for PhD students eager to work in the areas of Statistical Methods of Forecasting, Marketing Analytics and Time Series Analysis. The perfect candidate should not be scared of mathematics (are you comfortable with linear algebra, probability theory, mathematical statistics and information theory?) and should know or be ready to learn how to program (preferably in R or Python). NOTE: If you want to apply for PhD under my supervision, you need to answer the following question in the first email you send me: When, by whom and in what paper was the Single Source of Error state space model first proposed?

View Ivan's profile

Dr Williams is always interested in PhD students who have research interests around computational modelling and simulation of complex real-world systems. His expertise is within agent-based modelling and simulation of complex biological and social systems, however he is also interested in modelling and simulation techniques broadly. At present, he has three main research interests: 1) computational modelling and simulation of complex systems (including digital twinning) in order to allow us to use simulation-based experimentation to answer novel questions of the real-world; 2) using existing computational models to enable us to develop novel statistical and software engineering techniques to ensure that computational models, especially agent-based models, are fit-for-purpose; and 3) using Natural Computing to provide biological metaphors for novel functionality within computational modelling and computational intelligence (e.g., Artificial Immune Systems, Artificial Neural Networks, Evolutionary Algorithms, etc). Although he is an expert in agent-based modelling and simulation, he is also comfortable in supervising PhD students who would like to use alternative modelling paradigms, e.g. Differential Equations, System Dynamics, Discrete Event Simulation, etc. If you are interested in pursuing a PhD with Dr Williams, then please get in touch via email to discuss the computational paradigm(s) and the domain (i.e. case study, business process, epidemiological system) that you are interested in.

View Richard's profile

I am interested in supervising Ph.D students in the area of Information Systems, in particular digital innovation, FinTech, and InsurTech.

View Ruilin's profile