Special issue of “Sustainability”, entitled, “Policies for Sustainable Agricultural Productivity and Efficiency”.

Sustainability

Special issue on:

Policies for Sustainable
Agricultural Productivity and Efficiency

Call for papers

Special issue of “Sustainability”, entitled, “Policies for Sustainable
Agricultural Productivity and Efficiency”.

Guest editor: Dr Boon L. Lee

I would like to invite you to contribute to this Special Issue, which
addresses matters such as whether current farm practices and
productivity is able to meet the objectives of food security. How new
innovative farming techniques can increase farm output while reducing
greenhouse gases. Whether current agricultural policies are achieving
the goals of sustainable farm production or are there policies that may
achieve these goals? Or any other issues that aligns with sustainable
efficiency and productivity in agriculture.

The website for the special issue is found below:
https://urldefense.com/v3/__https://www.mdpi.com/journal/sustainability/special_issues/Agricultural_Productivity_Efficiency__;!!NVzLfOphnbDXSw!QH-auBdn2mu_S8ykqJ9brfD7JxYYoQAg7aPLCCtKeOerJ9Nei1bFQcZmUn1Y3kfx$

Best regards,
Boon
                                                                                                                                                        
Dr Boon L. Lee (FHEA) | Senior Lecturer | School of Economics and Finance
QUT Business School | QUT | Email: bl.lee@qut.edu.au

Special issue of : IMA Journal of Management Mathematics “Recent Advances in Inverse Data Envelopment Analysis”, Deadline: December 31, 2020

IMA Journal of Management Mathematics

Special issue on:

Recent Advances in Inverse Data Envelopment Analysis

Guest editors: 

Ali Emrouznejad, Aston Business School, Aston University, Birmingham, UK
Gholam R Amin, Faculty of Business, University of New Brunswick at Saint John, Canada  

Data Envelopment Analysis (DEA) as developed by Charles Coopers, Rhodes (1978) is an optimization method of mathematical programming to generalize the Farrell (1957) single-input/ single-output technical efficiency measure to the multiple-input/ multiple-output case by constructing a relative efficiency score as the ratio of a single virtual output to a single virtual input.

The standard DEA models measure the relative efficiency of decision-making units (DMUs). They do not reveal the level of inputs and outputs that would allow a business firm to realize a given efficiency target. This requires solving an inverse problem which is beyond the scope of DEA models and requires appropriate mathematical models relate to inverse optimisation to be developed.

Recent years have seen the potential of inverse DEA (InvDEA) in solving different decision-making problems in the areas such as environmental efficiency, greenhouse gas emissions optimization, resource allocation, firms restructuring, and mergers’ gains estimation. Despite the wide range applicability of DEA, there are few applications of InvDEA in the literature.

In this issue, we consider state-of-the-art papers spanning all areas of analytical and empirical research related to new developments in InvDEA models and applications of performance and efficiency analysis in the real world as long as the article provides significant new insights to advance the practices of InvDEA.

Specifically, this special issue aims to invite scholars and practitioners to develop theory and application of InvDEA in the areas such as climate change, environmental efficiency, pollution minimization, carbon tax policy, firms restructuring, resource allocation, as well as potential merger and acquisition application of InvDEA for the post-Coronavirus market. 

References:

  • Amin, G.R. Emrouznejad, A. and Gattoufi, S. (2017). Modelling generalized firms’ restructuring using inverse DEA. Journal of Productivity Analysis, 48(1), 51-61.
  • Emrouznejad, A. Yang, G. and Amin, G.R. (2019). A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries. Journal of the Operational Research Society, 70(7), 1079-1090.
  • Gattoufi, S. Amin, G.R. and Emrouznejad, A. (2014). A new inverse DEA method for merging banks. IMA Journal of Management Mathematics, 25(1), 73-87.
  • Wegener, M. and Amin, G.R. (2019). Minimizing Greenhouse Gas Emissions using Inverse DEA with an Application in Oil and Gas. Expert Systems with Applications, 122, 369–375.

Important Dates

31 December 2020

Submission deadline
(Early submission recommended, referee process starts once the paper received, accepted papers will be published individually online as they are accepted)

31 April 2021

Notification of status & acceptance of paper

31 August 2021

Revised manuscripts

31 December 2021

Final submissions

Guest Editors

  • Dr Ali Emrouznejad
    Professor and Chair in Business Analytics, Aston Business School, Aston University, UK, A.Emrouznejad@aston.ac.uk
  • Dr Gholam R Amin Faculty of Business, University of New Brunswick at Saint John, Saint John,  Canada,  gamin@unb.ca

List of Editors’ related paper on “Inverse DEA”: 

  • Amin, G.R., and Ibn Boamah, M. (2020). A new inverse DEA cost efficiency model for estimating potential merger gains: A case of Canadian banks, Annals of Operations Research, 1-16, in press.
  • Wegener, M., and Amin, G.R. (2019). Minimizing Greenhouse Gas Emissions using Inverse DEA with an Application in Oil and Gas, Expert Systems with Applications, 122, 369–375.
  • Emrouznejad, A., Yang, G., and Amin, G.R. (2019). A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries. Journal of the Operational Research Society, 70(7), 1079-1090.
  • Amin, G.R., Al-Muharrami, S., and Toloo, M. (2019). A combined goal programming and inverse DEA method for target setting in mergers, Expert Systems with Applications, 115, 412-417.
  • Amin, G.R., and Oukil, A. (2019). Flexible target setting in mergers using inverse data envelopment analysis, International Journal of Operational Research, 35(3), 301-317.
  • Amin, G.R., and Saeed Al-Muharrami (2018). A new inverse DEA model for mergers with negative data, IMA Journal of Management Mathematics, 29(2), 137-149.
  • Amin, G.R., Emrouznejad, A., and Gattoufi, S. (2017). Modelling Generalized Firms’ Restructuring using Inverse DEA, Journal of Productivity Analysis, 48(1), 51-61.
  • Amin, G.R., Emrouznejad, A., and Gattoufi, S. (2017). Minor and Major Consolidations in Inverse DEA: Definition and Determination, Computers and Industrial Engineering, 103(1), 193-200.
  • Gattoufi, S., Amin, G.R., and Emrouznejad, A. (2014). A new inverse DEA method for merging banks, IMA Journal of Management Mathematics, 25(1): 73-87.
  • Amin, G.R., and Emrouznejad, A. (2007). Inverse forecasting: A new approach for predictive modeling. Computers & Industrial Engineering, 53(3):491–498.
  • Amin, G.R., and Emrouznejad, A. (2007). Inverse linear programming in DEA. International Journal of Operations Research, 4(2):105-109.

DEA & SFA course at Aston University, July 2020


Courses on: Performance Measurement Using Data Envelopment Analysis (DEA) at Aston University, UK

Presenters:
Professor Emmanuel Thanassoulis, Professor Ali Emrouznejad, Dr Dimitris Giraleas


DEA course: July 6-7, 2020

SFA course: July 8-9, 2020

(Register before 1st May 2020 and save £200)

For registration and further details please CLICK HERE. 

Call for PAPERS: Special Issue on “Big Data and its Applications in Management and Economics”

Special Issue: Big Data and its Applications in Management and Economics

Guest Editor: Ali Emrouznejad, Aston Business School, Aston University, UK


The Central European Review of Economics and Management (CEREM) is a peer-reviewed, inter-disciplinary international journal to focus on state-of-the-art empirical and theoretical studies in the field of economics and management. It aims to create a platform for exchange of knowledge and ideas between research, business, governmental and other actors. Besides more traditional scientific papers, the journal welcomes conceptual papers, opinion papers and policy discussions from academic, corporate, governmental and civil society representatives.

This special issue welcomes papers on Big Data from all fields of business application, such as (but not limited to) Agriculture, Banking, Education, Environment, Economy, Government, Health, Insurance, Information Technology, Marketing, Operations, Public Policy, Human Resources, Manufacturing, Retail, Regulation, Services and Tourism.

This special issue aims to focus on original research papers of high quality providing practical applications to real-world management / business problems and to bridge the gap between industry and academia.

Contributions from both the academic and the practitioner communities are encouraged. Empirical research, as well as the development of new or modified Big Data applications to address challenging and emerging policy or management/ business problems, will be emphasized. Management-related studies, detailing the execution of Big Data applications in business / economic approaches for policy analysis, among others, are especially solicited.

Important Dates:

  • 1 June 2020 – Submission of Abstract
  • 15 June 2020 – Notification of status invitation to submit full paper
  • 30 September 2020 – Deadline for submission of full paper
  • 3 November 2020 – Notification of acceptance or invitation for revision of paper
  • 31 December 2020 – Final version of paper
  • December 2020 / March 2021 – Publication

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.

Submissions:

Pleases send your initial abstract to the guest editor:
Professor Ali Emrouznejad (a.emrouznejad@aston.ac.uk )
Head of Business Analytics Group at Aston Business School,
Aston University,
Birmingham B4 7ET,
United Kingdom

Other Publications in this area:

  

Call for PAPERS: DEA at OR62, September 2020, University of Warwick, UK

Call for Papers: Data Envelopment Analysis (DEA) and its Applications 

OR62: Annual Conference, September 15-17, 2020, University of Warwick, UK

Abstract submission: CLICK HERE (deadline: 31st May, 2020)


Dear Colleague,

We would like to issue an invitation to take part in the Data Envelopment Analysis (DEA) Stream of the OR62 Conference. This conference will be held in University of Warwick, UK from 15th to 17th September 2020. Contributions from both the academic and the non-academic communities are welcome.

This stream covers papers on the theme of efficiency and productivity analysis and performance management. Both parametric and non-parametric papers will be considered. We especially welcome papers on the theory, methodology and application of Data Envelopment Analysis and econometric methods in performance management. Of particular interest are successful applications of performance and efficiency analysis in the real world, for example in banking, healthcare, education, transportation, Energy, and so on.

If you are interested in making a presentation, please submit a title and abstarct of your talk no later than 31st May 2020. See details at:  at http://deazone.com/en/or62.

Deadline for abstract submission:   May 31, 2020
Deadline for early-bird registration:  June 30, 2020
Conference date:                             September 15-17, 2020
Conference Venue:                            University of Warwick, UK

Details about the venue:                    CLICK HERE
Abstract submission:                         CLICK HERE

Kind regards,
Ali Emrouznejad, Professor of Business Analytics, Aston University, Birmingham, UK
Adel Hatamimarbini, Professor in Department of Management and Entrepreneurship, De Montfort University, Leicester, UK

__________________________________________________________________________

DEA & SFA course at Aston University, July 2020:
Aston Group of Efficiency and Productivity

Courses on: Performance Measurement Using Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) at Aston University, UK

Dates:

DEA course:  July 6 – 7, 2020
SFA course:   July 8 – 9, 2020

Details: CLICK HERE

Special issue of : ANOR- Annals of Operations Research on “Blockchain in Operations and Supply Chain Management”, Deadline: September 30, 2020

ANOR- Annals of Operations Research

Special issue on:

Blockchain in Operations and Supply Chain Management

Guest editors: 

Ali Emrouznejad, Soumyadeb Chowdhury, Prasanta Dey, Aston University, United Kingdom

Click HERE for details

Blockchain technology (BCT) has emerged as an enabling technology that can provide traceability, provenance and transparency in business operations, across complex global supply chain ecosystems, where leanness, agility, and speed are crucial, in addition to achieving social sustainability. It is considered one of the most disruptive technologies representing decentralised environment for transactions, self-executing digital contracts (smart contracts) and intelligent asset management over the Internet, providing a single-view to the entities (users) involved in the transaction. Therefore, the key characteristics of BCT will significantly impact the organisational governance, supply-chain relationships, operations strategy, digital transformation pathway and existing supply-chain business models. BCT when integrated with other technologies such as the Internet of Things, big data analytics, and artificial intelligence, will help to increase the efficiency of supply chain through agile data-driven decision-making based on high quality data (stored in Blockchain) and further facilitating supply chain transparency that will also afford product traceability, authenticity and legitimacy, and enhance sub-supplier transparency that will alleviate social sustainability problem in multi-tier supply networks.

Despite the potential of BCT for the field of Operations and Supply Chain Management (OSCM), it has thus far received extremely limited attention in the OSCM literature, except for a few studies reporting a systematic review of literature reflecting on the characteristics of the technology, potential drivers in a business environment and technical challenges to deploy it. However, empirical evidence and research on developing new models and contemporary tools to assess several elements related to the technology, including and not limited to, performance, organisational readiness, risk assessment, operations strategy, integration with existing ERP systems and supply chain business models, will facilitate deeper understanding of the benefits offered by the technology that in-turn will help managers and relevant decision-makers to systematically assess the impact of BCT on their respective organisation and supply chain model. Furthermore, research into application of BCT within OSCM literature will require examining the relevance of existing theories and either developing new theories or extending existing theories that will facilitate better understanding of this contemporary phenomenon and its impact on supply chain relationships, operations strategy, workforce management, business partnerships, value creation, social legislations and business transparency.

For this special issue, we expect original research papers reporting empirical evidence, models and tools, and developing new theories contributing to the application of BCT in OSCM.

The main topics of interest include but are not limited to:

  • Impact of BCT on supply chain relationships
  • BCT and trust in OSCM
  • Blockchain adoption and risk assessment
  • Blockchain adoption and performance measurement
  • Blockchain and supply chain sustainability
  • Blockchain and social sustainability
  • Blockchain and OSCM theories
  • Blockchain and operations strategy
  • Blockchain and supply chain intelligence
  • Blockchain readiness models and empirical assessment
  • Blockchain analytics for business operations
  • Blockchain and data-driven decision making
  • Smart contracts in OSCM – feasibility , use-cases and business performance
  • Smart contract rules and governance
  • Blockchain – managerial/business perspectives
  • New business/supply chain models using BCT
  • Blockchain – consumer perspectives
  • Blockchain and sustainability development goals in OSCM

Instructions for Authors can be found at:

https://www.springer.com/journal/10479/submission-guidelines

Authors should submit a cover letter and a manuscript by September 31, 2020, via the Journal’s online submission site. Manuscripts submitted after the deadline may not be considered for the special issue and may be transferred, if accepted, to a regular issue.

Please see the Author instructions on the web site if you have not yet submitted a paper through Springer’s web-based system, Editorial Manager. When prompted, please select the special issue’s title, Blockchain in Operations and Supply Chain Management, to ensure that it will be reviewed for this special issue.

Papers will be subject to a strict review process under the supervision of the Guest Editors, and accepted papers will be published online individually, before print publication.

Important Dates

30 September 2020 Submission deadline
(early submission recommended, referee process starts once the paper is received, accepted papers will be published individually online as they are accepted)
31 March 2021 Notification of status and acceptance of paper
31 August 2021 Revised manuscripts
31 December 2021 Final version of paper

Guest Editors

Ali Emrouznejad (Managing Guest Editor), A.Emrouznejad@aston.ac.uk, 
Professor Business Analytics, Operations and Information Management Department, Aston Business School, Aston University

Soumyadeb Chowdhury, S.chowdhury5@aston.ac.uk, 
Lecturer Information and Communication Technology, Operations and Information Management Department, Aston Business School, Aston University

Prasanta Dey, deypk@aston.ac.uk, 
Professor in Operations and Information Management, Aston Business School, Aston University

CALL FOR PAPERS: Data Envelopment Analysis (DEA) at IFORS2020, June 2020,

Call for PAPERS:
Data Envelopment Analysis (DEA) stream at IFORS2020,
21st – 26th, June 2020, Seoul, Korea
http://deazone.com/en/ifors2020

Dear Colleague,

We would like to issue an invitation to take part in the Data Envelopment Analysis and Performance Measurement Stream of the IFORS2020 Conference. This conference will be held on June 21 (Sun) – 26 (Fri), 2020 at Coex Convention Center in Seoul, South Korea. Contributions from both the academic and the non-academic communities are welcome.

This stream covers papers on the theme of efficiency and productivity analysis and performance management. Both parametric and non-parametric papers will be considered. We especially welcome papers on the theory, methodology and application of Data Envelopment Analysis and econometric methods in performance management. Of particular interest are successful applications of performance and efficiency analysis in the real world, for example in banking, healthcare, education, transportation, and so on. If you are interested in making a presentation, please submit a title of your talk no later than January 17, 2020 at https://www.euro-online.org/conf/ifors2020/, using the following session code:  

e4ae0ab0” for DEA&SFA: Theory, Methodology and Applications

Further details about the conference is avilable at  http://www.ifors2020.kr/

Deadline for submission abstract: 31st January 2020
Early-bird Registration: 28th February 2020
Conference date: 21st to 26th June 2020
Conference Venue: Seoul, Korea

Kind regards,
Ali Emrouznejad, Ana Camanho and Giovanna D’Inverno

Ali Emrouznejad (a.emrouznejad@aston.ac.uk )
Operations & Information Management Depatment,
Aston Business School
Aston University
Birmingham B4 7ET, UK

http://www.DataEnvelopment.com
DEA LinkedIn: https://www.linkedin.com/in/dataenvelopment/

Ana Camanho (acamanho@fe.up.pt)
Industrial Engineering and ManagementFaculty of Engineering,
University of Porto
Portugal
https://sigarra.up.pt/feup/en/func_geral.formview?p_codigo=241223

Giovanna D’Inverno (giovanna.dinverno@kuleuven.be)
Leuven Economics of Education Research 
Faculty of Economics and Business
KU Leuven
Leuven, Belgium
https://www.kuleuven.be/wieiswie/en/person/00119559


DEA LinkedIn: https://www.linkedin.com/in/dataenvelopment/
All about DEA: http://www.DataEnvelopment.com


Special issue of : JMSE – Journal of Management Science and Engineering on “New advances in DEA its applications under Big Data”, Deadline: November 30, 2020

JMSE – Journal of Management Science and Engineering
New advances in DEA its applications under Big Data

Guest editors: 

Prof. Dr. Guoliang Yang, Institutes of Science and Development, Chinese Academy of Sciences, P.R. China, glyang@casipm.ac.cn

Prof. Dr. Ali Emrouznejad, Aston Business School, Aston University, United Kingdom, a.emrouznejad@aston.ac.uk

Further details: please click here.

Journal of Management Science and Engineering (JMSE) is a scholarly journal that publishes scientific research on the latest improvement and practice of management science and engineering, an area emphasizing modeling, optimization, computation and data analytics in identifying and solving management problems, making business decisions, and managing risks in complex management systems.

In this issue of the Journal of Management Science and Engineering (JMSE), we invite high quality research papers on Data Envelopment Analysis (DEA) under Big Data.

The aim of this special issue is to publish state-of-the-art papers spanning all areas of analytical and empirical research. Specially, we attract high-quality papers related to new developments in DEA and its applications under big data for publishing in respect to fields listed below:

  • Operations Management and Industrial Engineering
  • Supply Chain and Logistics Management
  • Transportation Systems and Management
  • Information Systems and e-Business
  • Forecasting and Predictive Analytics
  • Decision Making

It will feature problem-oriented theory development and empirical analysis that has characterized DEA, including methodological advances and new models. We also consider Empirical assessment and successful applications of performance and efficiency analysis in the real world as long as the article provides significant new insights to advance the practices of DEA.

Important Dates

November 30, 2020 Submission Deadline
(early submission recommended, referee process starts once the paper received, accepted papers will be published individually online as they are accepted)
February 28, 2021 Notification of status & acceptance or invitation for revision of paper
May 31, 2021 Revised manuscripts
          October Anticipated print publication

Manuscript Preparation 

Please refer to the Journal Information and Instruction for Author to get information on manuscript preparation. All manuscripts should be submitted online at https://mc03.manuscriptcentral.com/jmse, when submitting the manuscript please select the article type “Special Issue on New developments in DEA models and applications”

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.

Reviewing 

Submitted papers will be peer-reviewed in the same manner as any other submission to a leading international journal. The major acceptance criterion for a submission is the quality and originality of the contribution.

About JMSE

Journal of Management Science and Engineering (ISSN 2096-2320; https://www.sciencedirect.com/journal/journal-of-management-science-and-engineering) is a peer-reviewed open access scholarly journal on all aspects of management science and engineering published quarterly online. JMSE is sponsored by National Natural Science Foundation of China (NSFC), Science Press and Tianjin University. JMSE collaborates with Elsevier through KeAi. All published papers are available on ScienceDirect.

Benefits of publishing with JMSE:

  • Open access (unlimited and free access for readers)
  • Free publication for well-prepared manuscripts
  • Identified as “A Class Journal” by Department of Management Science, National Natural Science Foundation of China (NSFC)

North American Productivity Workshop XI, June 8-12, 2020, Florida, USA

Conference Dates: June 8-12, 2020
Conference Venue: Miami Herbert Business School, Coral Gables, Florida, USA
Conference website: napwXI.edu

Dear Colleagues,
NAPW has long been established as a major biennial conference on the topics of productivity, eciency and performance analysis. Following the successful NAPW X, we expect a large and diverse body of participants to attend NAPW XI in Miami. This year’s theme is especially important to the Miami Business School, Sustainable Productivity. Sustainable productivity encapsulates enduring growth and process improvements, a healthy workforce and surrounding operational environment, a regular ow of new ideas and innovations, and an unwavering optimism about the direction of the rm. The school recently launched the only STEM certi ed Masters in Sustainable Business and the Miami Business School is the only academic building in the state of Florida to have achieved LEED Gold certi cation. Submission for presentation on all areas related to the measurement, assessment and character of sustainable productivity are invited. Submissions on the theory and application of economics, econometrics, statistics, anagement science and operational research related to problems in the areas of productivity and efficiency measurement more broadly are highly encouraged. Our aim is to have a conference program that features all popular techniques and methodologies within the eld, including stochastic frontier analysis and data envelopment analysis. We also welcome papers on broader issues related to measuring, understanding, incentivizing and improving the productivity and performance of rms, public services, and industries.

On behalf of the scienti c committee, we look forward to welcoming all participants of NAPW XI to Miami this upcoming June.

Important dates:
Abstract submission and registration: Now Open!!
Abstract submission closes: February 9, 2020
Noti cation of acceptance: February 22, 2020
Early registration ends: March 22, 2020
Registration deadline for presenters: May 1, 2020

Any questions or concerns regarding the conference may be addressed to the local organizers: at Christopher Parmeter (cparmeter@bus.miami.edu) or Ian Wright (iwright@miami.edu)

Vacancies in Business Analytics – Aston Business School

Teaching Fellow / Senior Teaching Fellow in Business Analytics

Location:  Aston University Main Campus
Salary:  £33,797 to £59,135 per annum
Grade 8 to 10
Contract Type:  Continuing
Basis:  Full Time
Closing Date:  23.59 hours GMT on Thursday 28 November 2019
Interview Date:  To be confirmed
Reference:  R190460

Aston Business School is a Triple Accredited University (EQUIS, AACSB and AMBA) and one of the leading Universities in the UK for academic research (in the recent REF we received 100% for Research Impact), excellent teaching (awarded Gold rating in the 2016/17 TEF) and business engagement. We are only one of three UK institutions with the Small Business Charter Gold Award. The University actively supports and finances academic spin-offs. The Operations and Information Management Department is organized in five groups: Systems Modelling and Simulation, Business Analytics, Operations Management, Global ICT Management and the Advanced Services – who conduct research into various aspects of operations strategy, data analytics and IS/ICT. There is a thriving teaching and learning and research culture in the Department, which has a strong reputation for being rigorous, relevant and entrepreneurial. We support participation in international conferences, teaching innovations and supervision of PhDs via the Dean’s scholarships, and actively support business engagement and corporate client opportunities.

As part of our growth strategy, we are seeking an inspirational and highly motivated individual to contribute to the development of the Department’s teaching and enterprise activities. We welcome discussions with prospective candidates with interests in the specified areas (see further details). We are keen to discuss new ideas in order to strengthen our teaching profile and complement our research and business support provision.

You will have a good quantitative first degree, or equivalent, as well as a higher degree in a relevant academic discipline. You must also be able to demonstrate an emerging pedagogical path through experience of effective innovative teaching and learning. We are especially looking for people with a ‘hands-on and can-do’ attitude.

This post is being offered as a Teaching Fellow/Senior Teaching Fellow in Business Analytics.  You will be appointed at a Teaching Fellow or Senior Teaching Fellow level dependent on your skills and experience. The post holder is expected to live within reasonable commuting distance of Aston University Campus based in Birmingham. This would usually mean living or moving within a 45 mile commute of the campus.

The post is available to start as soon as possible

Further details:    Job Details     University Information

Further particulars and application forms are available in alternative formats on request i.e. large print, Braille, tape or CD Rom.

If you have any questions, please do not hesitate to contact HR via recruitment@aston.ac.uk

Aston University is an equal opportunities employer and welcomes applications from all sections of the community.



Professor Ali Emrouznejad

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