Lecturer/Senior Lecturer in Business Analytics

Location: Guildford
Salary: £44,414 to £64,946
Post Type: Full Time
Closing Date: 23.59 hours BST on Monday 22 May 2023
Reference: 022423

Starting Salary for Lecturer: £44,414

Starting Salary for Senior Lecturer £54,421

The University of Surrey is a global university with a world-class research profile, and an enterprising and forward-thinking spirit committed to research excellence and to benefiting the economy, society and the environment. Our researchers practise their excellence against the backdrop of a broad spectrum of technological, human, health and social sciences, and strong linkages forged in an integrated campus culture of cooperation.

The Department of Business Transformation at Surrey Business School is seeking applications for TWO Lecturer/Senior Lecturer positions in the broad area of Business Analytics. This is part of an ambitious effort to develop a world-class group of scholars who will make significant contributions to the various facets of business analytics research and teaching. Business analytics expertise in our department covers a wide range, including machine learning and AI, econometrics and statistics, DEA, simulations and optimization, and we are open to candidates with expertise in any of the above. Our department is also deeply engaged with local and international businesses which provide opportunity for creating impact and generating research funds. Our researchers are closely linked to the newly established Centre for Business Analytics in Practice (CBAP) within the Business School. We actively collaborate with scholars across the University such as computer science, engineering, data science and digital health, and publish widely in high impact prestigious journals from a wide range of disciplines.  

Please specify in your cover letter which position you are applying for. All candidates should hold a doctoral degree (or close to obtaining one), demonstrate experience of published research outputs at CABS 4*/3* or equivalent levels, and experience of teaching advanced quantitative modules within a business school context. Candidates applying for the Senior Lecturer position should demonstrate research leadership within their fields in the form of a sustained publication record in top journals, experience of leading and managing research grants/contracts, with a strong research network and pipeline.

While we are open to research areas, alignment with the strategic research themes of University of Surrey (https://www.surrey.ac.uk/research/themes) will be desirable. For at least one of the advertised positions, we would like to encourage candidates with expertise in the SAS statistical software.

Diversity is core to our values and we encourage applications from diverse backgrounds.

Informal enquiries should be directed in the first instance to Dr Abhijit Sengupta (Abhijit.Sengupta@surrey.ac.uk), Head of Department, Business Transformation, Surrey Business School.

Further details:   Lecturer Job Description     Senior Lecturer Job Description 
CLICK HERE to Apply online

ICBAP: International Conference on Business Analytics in Practice, Jan 8-11, 2024, Sharjah, UAE

Submit your abstract at: https://academyba.com/icbap2024/submission/
Deadline: 31st October 2023
Dear Colleagues,

On Behalf of the organizing committee, I’m excited to share with you that the highly anticipated International Conference on Business Analytics in Practice (ICBAP2024) will take place in Sharjah, UAE from January 8-11, 2024.

The ICBAP2024 is jointly organized by the Centre for Business Analytics (CBAP) at Surrey Business School, UK, and the College of Business Administration (CoBA) at the University of Sharjah, UAE.

We cordially invite you to join us in this multidisciplinary conference where leading experts in business analytics will be sharing their knowledge and insights. This conference is a unique opportunity for professionals, academics, and students to collaborate, exchange ideas and network with like-minded individuals from around the world.

Further information: https://academyba.com/icbap2024/

Submit your abstract at: https://academyba.com/icbap2024/submission/

Best regards

Ali Emrouznejad, Professor and Director, Centre for Business Analytics in Practice, University of Surrey, Guildford, UK


Organizing committee:
ProfessorAli Emrouznejad
ProfessorDima Jamali
Professor Panagiotis (Panos) Zervopoulos
Professor John Rice

Call for Papers: Intelligent Search Engines (Machine Learning with Applications)

Revolutionising Search Experience: Intelligent Search Engines Powered by Artificial Intellgence and Machine Learning

Special issue on: Revolutionising Search Experience: Intelligent Search Engines Powered by Artificial Intelligence and Machine Learning

Journal: Machine Learning with Applications  

Guest Editors:
Professor Ali Emrouznejad, Director of Centre for Business Analytics in Practice, Surrey Business School, University of Surrey, Guildford, Surrey, UK, a.emrouznejad@surrey.ac.uk

Professor Vincent Charles, University of Bradford, Bradford, UK, c.vincent3@bradford.ac.uk

Details: https://bit.ly/MLWA-SearchEngine

Intelligent Search Engines

In recent years, intelligent search engines have transformed the way we search, discover, and consume information online by utilising Artificial Intelligence (AI) and Machine Learning (ML) technologies to deliver search results that are more precise, relevant, and personalised. While traditional search engines rely on predefined algorithms based on keyword matching and ranking factors that can often result in irrelevant or incomplete search results, intelligent search engines use AI and ML algorithms to comprehend the intention behind a user’s search query and offer more accurate, relevant, and personalised results, leading to more efficient and effective information retrieval, and consequently, increased user adoption. Natural Language Processing (NLP), Natural Language Understanding (NLU), and analysis of various signals such as search history, location, device type, preferences, and user behaviour are used by intelligent search algorithms to better understand what users are looking for. Moreover, existing AI- and ML-based search engines often exhibit biases, which are a result of the training data, the algorithms and sample used, and the user behaviour, among others. Hence, developing new AI- and ML-based search engines that are unbiased, transparent, inclusive, and ethical is crucial for ensuring fair and equitable access to information, and require a multi-faceted approach that involves careful attention to the design, development, and evaluation of such intelligent search engines. As the complexity of intelligent search engines increases, it is also important to consider issues related to the privacy and security of users’ sensitive personal data collected by the engines, along with transparency and accountability issues. Thus, developing intelligent search engines with enhanced transparency, privacy, and security systems is imperative.

The aim of this special issue on “Revolutionising Search Experience: Intelligent Search Engines Powered by Artificial Intelligence and Machine Learning” is to bring together cutting-edge research on the latest advancements in intelligent search engines and their potential to revolutionise the search experience for users. We welcome researchers and practitioners to submit their contributions and share their innovative research on the latest advancements in intelligent search engines.

Scope of the Special Issue: Topics include, but are not limited to:

  • AI and ML algorithms for search relevance and personalisation
  • AI and ML algorithms for search engine optimisation
  • AI and ML algorithms for more inclusive and equitable search engines
  • AI and ML algorithms for enhancing the transparency, privacy, and security of search engines
  • Recommender systems for search engines
  • NLP and NLU techniques for intelligent search
  • Semantic web and knowledge graphs for intelligent search
  • User behaviour analysis for personalised search
  • Search intent and context analysis
  • Conversational search and chatbots
  • Integration of intelligent search engines with other technologies, such as voice search and virtual assistants
  • Use cases and real-world applications of intelligent search engines in various domains, such as e-commerce, finance, marketing and advertising, healthcare, education, travel and hospitality, and government and public services, among others
  • Evaluation metrics for intelligent search, including new evaluation metrics for assessing the fairness and inclusivity of search engines

We welcome both theoretical and practical contributions from academia and industry. All submitted papers will be peer-reviewed and selected based on their originality, significance, and technical quality.

About MLWA journal and Publication fee:

Although the journal Machine Learning with Applications is an Open Access journal, publication fees will be waived for the articles published in this Special Issue. More on the MLWA journal can be found at: https://www.sciencedirect.com/journal/machine-learning-with-applications.

Important Dates:

  • Submission deadline: August 31, 2023
  • Notification of first round of review results: October 31, 2023
  • Submission of revised papers: November 20, 2023
  • Final acceptance decisions notifications: December 21, 2023

Submission Guidelines:

All papers must be submitted through the journal’s online submission system. Please follow the journal’s author guidelines for formatting and other details at: https://www.editorialmanager.com/mlwa/.

When submitting your manuscript please select the name of the special issue: “VSI: Intelligent Search Engines

Details: http://DEAzone.com/MLWA-SearchEngine

Why publish in this Special Issue?

  • Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
  • Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
  • Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
  • All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
  • Learn more about the benefits of publishing in a special issue:

Professor Rajiv Banker

Dear Colleagues and Friends,

It is with profound sadness that we share the news of Professor Rajiv Banker’s passing. As an exceptional scholar in the field of Data Envelopment Analysis (DEA), Professor Banker made unparalleled contributions to the field and the wider academic community. His outstanding research, expertise, and unwavering dedication to advancing the field of DEA will be remembered for generations to come.

Professor Banker’s legacy will undoubtedly live on through his published works and the countless students and colleagues he mentored and inspired. We offer our deepest sympathies to his family, friends, and colleagues during this difficult time.

We will greatly miss Professor Banker’s presence, insightful contributions, and commitment to advancing the field. Let us take comfort in the knowledge that his contributions will continue to benefit the academic community and society at large.

Ali Emrouznejad and Subhash Ray

International Conference on Data Envelopment Analysis, Surrey Business School, University of Surrey, UK, September 4-6, 2023

Celebrating the 45th Anniversary of DEA,

Dear Colleagues,

We have the great pleasure of inviting you to participate in the DEA45: International Conference on Data Envelopment Analysis to be held September 4-6, 2023 at Surrey Business School, University of Surrey, Guildford, UK. The University of Surrey is located on a landscaped campus on the outskirts of Guildford. London is only 35 minutes away by train and its major airports of Heathrow and Gatwick are both within easy reach, giving ready access from all over the world. Please see call for papers at https://dataenvelopment.com/dea45/.  

DEA: 45 years on
In the seminal paper, Charnes, Cooper, and Rhodes (European Journal of Operational Research 2, 429-444, 1978) introduced DEA as a linear programming based method for measuring the comparative efficiency of decision making units (DMUs). Since then DEA has seen exponential growth in both theoretical development and applications. Thousands of papers have been published extending the methodology to address numerous aspects of real life problems. Applications though lagging behind theory are nevertheless well established, ranging from the regulation of utilities to the delivery of financial, health, education and other public and private sector services. Following the DEA40 conference at Aston University in 2018, which celebrated the 40th anniversary of the seminal paper on DEA,  we are now organizing the DEA45 conference in 2023 on the 45th Anniversary of that, the most frequently cited paper in Operational Research journals.

Outline of the Conference
The conference will feature: Papers on the latest research in the field;Applications focused tracks including on Regulation, Agriculture, Education, Financial and Health Services;Round table discussions aimed at early career researchers where former or  current Editors of Journals in the field, including the European Journal of Operational Research and the Journal of Productivity Analysis will offer advice on getting published;

Conference program:
September 4, 2023: Opening Ceremony + Full Day Conference + Welcome Reception
September 5, 2023: Full Day Conference + Gala Dinner
September 6, 2023: Half Day Conference + Closing Ceremony Submissions: More information about the scientific and social program of the conference as well as paper submission can be found at https://DataEnvelopment.com/DEA45.

Submission deadline is March 31, 2023.

We look forward to seeing you at the DEA Conference in Guildford, UK!!

Ali Emrouznejad, Professor and Director, Centre for Business Analytics in Practice, University of Surrey, Guildford, UK

Emmanuel Thanassoulis, Emeritus Professor, Aston Business School, Aston University, Birmingham, UK

4th IMA and OR Society Conference on Mathematics of Operational Research, BIRMINGHAM 27-28 APRIL 2023

Call for Papers: Papers will be considered for the conference based on a 300 word abstract for oral presentation. Abstracts should be submitted by Monday 19 December 2022

Submission Info:

You can submit your paper to the IMA Journal of Management Mathematics (IMAMAN). https://academic.oup.com/imaman

Call for papers: Environmental Science and Policy; Special issue on “DEA-based index systems for addressing the United Nations’ SDGs”

Guest editors:

Vincent Charles, School of Management, University of Bradford, Bradford, UK,

Ali Emrouznejad, Centre for Business Analytics in Practice, Surrey Business School, The University of Surrey, Guildford, UK,

Details: https://deazone.com/en/envsci


The global Sustainable Development Goals (SDGs) were established by the United Nations General Assembly in 2015, as extensions of the UN Millennium Development Goals. These SDGs contain 17 goals and 169 targets aimed at “ending poverty, protecting the planet, and ensuring prosperity for all” (UN, 2018). Governments, private companies, organisations, and civil societies have been challenged to work together until 2030 to accelerate the progress towards achieving sustainable development.

Special issue information:

Achieving sustainable development is, therefore, a massive, complex, and ongoing task and one of the first steps in the assessment of whether goals can be met by 2030 involves the development of methods and tools to monitor the SDGs’ progress (Cristóbal et al., 2021; Nhamo et al., 2020). However, quantifying the level of sustainability attained by a system (be it a nation, region, sector, or business) is a challenging task due to the need to consider a wide range of economic, environmental, and social aspects simultaneously (Galán-Martín et al., 2016).

Data Envelopment Analysis (DEA) has been shown to be a well-established promising tool for such purposes, especially because it considers each sustainability dimension separately and can handle a large number of indicators. DEA is an optimisation-based management science technique for identifying the best practices of a group of decision-making units (DMUs) whose performance is categorised by multiple performance metrics that are classified as inputs and outputs. The construction of composite indicators, in particular, is a stream of research in the DEA literature for assessing sustainable development that has been gaining traction in recent times (Zakari et al., 2022). This is because indices are easy to communicate and can measure multi-dimensional concepts that may not share common units of measurement.

Studies aimed at examining sustainability using DEA have started to emerge (Chuai et al., 2021; Xu & Yao, 2022), although they are still scarce. However, when it comes to building (composite) indices using DEA, most of the existing studies have only looked at a specific dimension of the SDGs, for example, food supply/SDG2 (Lucas et al., 2021), health/SDG3 (Habib & Shahwan, 2020), energy/SDG7 (Zakari et al., 2022), or CO2 emissions/SDG13 (De Castro Camioto et al., 2014).

Therefore, the topic of this Special Issue is very timely, and it is expected that contributed articles will be of interest to a wide audience, from academics to practitioners, NGOs, and governmental bodies. It is expected that the research papers will assist relevant decision and policymakers in their attempt to measure sustainability and design policies aimed at raising the level of efficiency of current SDG policies, identifying and engaging in best practices, and allocating governmental resources – ultimately, with the overarching aim of achieving sustainable development.

This Special Issue welcomes original research articles of high quality that focus on building robust DEA-based index systems to measure and benchmark the SDGs across a variety of empirical contexts. The papers can use different theoretical lenses in the way they approach the conceptualisation and measurement of sustainability. For example, the papers can build upon literature on institutional theory, participation and community development, and global value chains, among others. Theoretical, conceptual, methodological, and empirical research studies are encouraged. The development of new or enhanced solutions are of considerable interest. Contributions from both the academic and the practitioner communities are supported.

Manuscript submission information:

Submission Deadline: July 31, 2023

You are invited to submit your manuscript at any time before the submission deadline. For any inquiries about the appropriateness of contribution topics, please contact Managing Guest Editor: Prof. Vincent Charles.

The journal’s submission platform (Editorial Manager®) is now available for receiving submissions to this Special Issue. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI:DEA for SDGs” when submitting your manuscript online.


Cristóbal, J., et al. (2021). Unraveling the links between public spending and Sustainable Development Goals: Insights from data envelopment analysis. Science of The Total Environment, 786, 147459. https://doi.org/10.1016/j.scitotenv.2021.147459

Chaudhry, I. S., Ali, S., Bhatti, S. H., Answer, M. K., Khan, A. I., & Nazar, R. (2021). Dynamic common correlated effects of technological innovations and institutional performance on environmental quality: Evidence from East-Asia and Pacific countries. Environmental Science & Policy, 124, 313-323. https://doi.org/10.1016/j.envsci.2021.07.007

Chuai, X., Gao, R., Li, J., Guo, X., Lu, Q., Zhang, M., Zhang, X., & Liu, Y. (2021). A new meta-coupling framework to diagnose the inequity hidden in China’s cultivated land use. Environmental Science & Policy, 124, 635-644. https://doi.org/10.1016/j.envsci.2021.08.001

De Castro Camioto, F., Barberio Mariano, E., & do Nascimento Rebelatto, D. A. (2014). Efficiency in Brazil’s industrial sectors in terms of energy and sustainable development. Environmental Science & Policy, 37, 50-60. https://doi.org/10.1016/j.envsci.2013.08.007

Galán-Martín, A., Guillén-Gosálbez, G., Stamford, L., & Azapagic, A. (2016). Enhanced data envelopment analysis for sustainability assessment: A novel methodology and application to electricity technologies. Computers & Chemical Engineering, 90, 188-200. https://doi.org/10.1016/j.compchemeng.2016.04.022

Habib, A. M., & Shahwan, T. M. (2020). Measuring the operational and financial efficiency using a Malmquist data envelopment analysis: a case of Egyptian hospitals. Benchmarking: An International Journal, 27(9), 2521-2536. https://doi.org/10.1108/BIJ-01-2020-0041

Lucas, E., Galán-Martín, A., Pozo, C., Guo, M., & Guillén-Gosálbez, G. (2021). Science of The Total Environment. 755, Part 1, 142826. https://doi.org/10.1016/j.scitotenv.2020.142826

Nhamo, L., Mabhaudhi, T., Mpandeli, S., Dickens, C., Nhemachena, C., Senzanje, A., Naidoo, D., Liphadzi, S., & Modi, A. T. (2020). An integrative analytical model for the water-energy-food nexus: South Africa case study. Environmental Science & Policy, 109, 15-24. https://doi.org/10.1016/j.envsci.2020.04.010

Sarra, A., Mazzocchitti, M., & Nissi, E. (2020). Optimal regulatory choices in the organization of solid waste management systems: Empirical evidence and policy implications. Environmental Science & Policy, 114, 636-444. https://doi.org/10.1016/j.envsci.2020.09.004

Retrieved from https://unstats.un.org/sdgs/indicators/Global%20Indicator%20Framework%20after%20refinement_Eng.pdf

Xu, Z., & Yao, L. (2022). Opening the black box of water-energy-food nexus system in China: Prospects for sustainable consumption and security. Environmental Science and Policy. Environmental Science & Policy, 127, 66-76. https://doi.org/10.1016/j.envsci.2021.10.017


Sustainable development goals, economic dimension, social dimension, environmental dimension, best practice, policy, optimisation, benchmarking, composite indicators, data envelopment analysis

Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues

Submission deadline: July 31, 2023

Special Issue Editors:

 Professor V. Charles
School of Management,
University of Bradford,
Professor A. Emrouznejad
Centre for Business Analytics in Practice
a.emrouznejad@surrey.ac.uk  Surrey Business School,
The University of Surrey,

Surrey Business School: Management and Business (PhD Studentships – October 2023)

Studentships are available for full-time and part-time study on the Management and Business PhD at Surrey Business School.

Our PhD in Management and Business will train you in critical and analytical skills, research methods, and in discipline-specific knowledge that will give you the knowledge, skills and abilities needed for a career in academia, or as a researcher in a wide variety of settings. You could also benefit from our choice of writing a traditional dissertation monograph or by following a PhD by publication format, so your work suits your interests. The programme will give you the intellectual foundation to ask cutting-edge questions and then conduct high-quality research to address those questions.
Surrey Business School is internationally recognised for interdisciplinary, international and applied research. Our researchers work closely with industry and pursue a variety of approaches with staff across the School, often leading to innovative new thinking. 

The Research Excellence Framework 2021 (REF2021) saw the University of Surrey moving up 12 places to 33rd in the UK rankings for overall research quality. The University is now also ranked in the top 20 in the UK for the overall quality of research outputs. 41 per cent of Surrey’s submitted research rated as world-leading, the highest possible rating, up from 22 per cent when REF last took place in 2014.
As part of REF2021, Surrey was ranked in the top 10 for the outputs and top 20 for the real-world impact of our business research.

Find out more about the Surrey Business School and its facilities.

Application deadline: 09 December 2022

Apply to the Management and Business PhD programme.

The funding application form (docx) should be completed electronically and returned to Wai-Si El-Hassan (sbs@surrey.ac.uk). Please note that this form should be signed by your nominated supervisor before submission.

The deadline for applications is 9 December 2022. Late applications will not be accepted. Applicants will also need to apply to the University of Surrey through the PhD programme page, clearly stating that you are applying for the Surrey Business School doctoral studentships 2023.

Topic of research: Any area in Business and Management, specially Data Envelopment Analysis, Big Data, Energy Efficiency  and NetZero.

Start date: 1 October 2023
Duration: 3 years full-time (pro rata part-time)
Funding source: University of Surrey (FASS studentships)
Funding information: The funding package is for 3 years full-time (pro rata part-time) and is:

  • Stipend at the standard UKRI rate  – £16,000 for 2022-23 (pro-rata for part time)
  • Full UK or Overseas fees waiver

Online DEA & SFA course – 3 days – July 2023

Online Courses on:

Performance Measurement Using Data Envelopment Analysis (DEA) & Stochastic Frontier Analysis (SFA)

Details: https://dataenvelopment.com/course/

July, 2023

July 2023

For registration and further details please visit: https://dataenvelopment.com/course/

Early registration fee
31st May 2023

Details: https://dataenvelopment.com/course/

Two-day workshop on “System Approach to Efficiency and Productivity Measurement: Multi-Level Network Production Models”

The Centre for Efficiency and Productivity Analysis (CEPA) at the School of Economics, University of Queensland, Brisbane, Australia is organizing two events this coming November (21-24 November 2022).

On November 21-22 CEPA will run a two-day workshop on “System Approach to Efficiency and Productivity Measurement: Multi-Level Network Production Models”. The workshop will be delivered over eight lectures by Prof. Chris O’Donnell and Dr. Antonio Peyrache in hybrid mode (both online and face-to-face) to facilitate participation. 

For more detailed information and the link to the registration page see: https://economics.uq.edu.au/cepa/events/efficiency-productivity-workshop

On November 23-24 CEPA will host a two-day conference on “Productivity, Regulation and Economic Policy”. The conference theme will showcase cutting edge research relevant for policy making on topics such as regulation of energy markets, natural resources allocation, land and housing affordability, and selected topics in health inequality and health sector productivity. 

The conference will be held in hybrid mode (both online and face-to-face) to facilitate participation. Attendance of the conference is free; however, registration is required. 

For more detailed information and the link to the registration page see: https://economics.uq.edu.au/cepa/events/productivity-regulation-economic-policy-conference