Karnataka State Akkamahadevi Women's University, Vijayapura

Ref.: 534005 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Teaching Staff Applications are invited for an appointment as Senior Lecturer in Computational Social Science and Digital Literacy (Ref.: 534005) in the Faculty of Social Sciences, to commence as soon as possible, on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. The Faculty of Social Sciences (FOSS) offers a wide range of undergraduate and taught postgraduate programmes that integrate quantitative, computational and social science approaches. The appointee will play a key role in advancing the Faculty’s offerings in Computational Social Sciences (CSS), Master of Social Sciences in Social Data Analytics (MSDA) and Maser of Public Administration (MPA). The appointee will contribute to teaching and curriculum development across undergraduate and postgraduate programmes, supervise graduate capstone projects, support programme operations (including admissions, recruitment, and digital promotion activities), advise students on their academic and professional development, and contribute to cross‑disciplinary collaborations within the Faculty and the University. Duties and Responsibilities The appointee will teach and coordinate the following courses (or their equivalents): Undergraduate (UG) Courses FOSS – Introduction to Computational Social Science  SOCI – Programming for Social Scientists  AILT – Digital Literacy Through a Social Sciences Lens Taught Postgraduate (TPg) Courses MSDA – Statistical Foundations  MSDA – Causal Inference in the Social Sciences  SOCI – Quantitative Research Methods Selection Criteria Applicants should possess a Master’s degree or above in Computational Social Science, Data Analytic Statistics, Sociology, Political Science, Public Policy or a relevant social science discipline with strong quantitative focus. Priority will be given to those with: The ability to teach Machine Learning, Programming (Python-based), Natural language processing and Social Network Analysis courses on modern computational social science methods at the graduate level; A track record of completed projects working with computational models and large-scale social science data; Post-qualification working experience in relevant professional or academic settings; Interdisciplinary teaching and research; and Experience working with persons from diverse social, cultural and linguistic backgrounds is expected, alongside excellent communication skills in English. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. How to Apply The University only accepts online application for the above post. Applicants should apply online, and upload (1) a cover letter; (2) an up-to-date CV; and (3) a teaching statement. Review of applications will start as soon as possible and continue until January 9, 2026, or until the post is filled, whichever is earlier.

About the role The purpose of the role is to deliver a full award management function, including reports on work in progress and project monitoring as required and will report progress to Senior Research Grants Administrator and Research Grants Manager. The role holder will maintain detailed knowledge of funder terms and conditions as well as internal financial procedures and regulations, and will apply these consistently, particularly with regard to financial returns. The consequences of non-compliance with financial regulations are severe and the role holder will be expected to develop and deploy a high level of expertise to manage this level of risk on behalf of the university. The role holder will need to have a broad perspective, engaging positively and proactively with the research strategy and service transformation programme currently underway at King’s and embracing opportunities to contribute in different ways This is a full time (35 hours per week), and you will be offered an a fixed term contract until 31/3/2027 . About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Good Standard of General Education (A Level / OND or Equivalent) Good understanding of Research Grants and Contracts Post Award activities in a University or similar environment and thorough understanding of funder Terms and Conditions of RCUK, Wellcome Trust, NIHR, UK and other Overseas Funders and Charities. IT Literate with intermediate / advanced spreadsheet skills (Ability to use macros and pivot tables, experience of using databases , external portals and information retrieval from the internet. High level of numeracy, double entry and accounting principles Excellent communication and organisational skills with ability to lead when required with Practical problem-solving skills and ability to analyse data at different levels and produce meaning full reports Previous experience of working with internal and external auditors with ability to lead on ad hoc work commitments Previous Experience of controlling a research portfolio and maintaining in line with financial procedures. Self-starter, with ability to work under own initiative and lead others following minimum guidance and ability to work well under pressure and to be able to prioritise their work in the face of constantly shifting priorities and tight deadlines Excellent interpersonal skills, including tact, ability to form working relationships with a wide range of people in an enthusiastic and helpful manner whilst being capable of firmly maintaining College Policies Desirable criteria Accountancy Qualification or Studying towards such a qualification Degree or equivalent professional Qualification Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £39,076 - £43,909 per annum, including London Weighting Allowance Job ID: 133085 Close Date: 04-Jan-2026 Contact Person: Mrs Shirley Thankappan Contact Details: shirley.thankappan@kcl.ac.uk

About us  King’s College London invites applications for a Postdoctoral Research Associate (PDRA) in AI for Equitable Disease Modelling to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders Fellowship project which focusses on integrating equity considerations into infectious disease modelling and surveillance, starting with the UK. The PDRA will be based in the Department of Geography, but will have access to training and support from King’s Health Partners Digital Health Hub, King’s Institute for Artificial Intelligence, and the Digital Futures Institute.  The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, John Hopkins University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual frameworks into mathematical models of complex cross-scale disease dynamics across different epidemiological scenarios. A key responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research will advance our understanding of how major infectious diseases of concern in the UK emerge, spread, and unequally affect different individuals and population groups.  Outcomes of this research will help advance the development of more equitable, spatial data-driven approaches to public health surveillance and pandemic preparedness, with direct links to public health policy. The findings will inform the development of a real-time spatial AI system to improve early detection and risk prediction, to protect vulnerable populations in the UK and in the future globally.  This is a full time post (35 hours per week), and you will be offered a fixed term contract until 30 April 2030. Part time employment may be considered. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you  To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing peer-reviewed papers. Demonstrated ability to collaborate effectively within teams, with a strong commitment to fostering a fair and inclusive work environment. Excellent written and oral communication skills, including to diverse audiences.  Desirable criteria Experience managing stakeholder relationships and working in a practitioner/policy context. Experience working on interdisciplinary research projects. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held between Monday 19th - Friday 23rd January 2026. Grade and Salary: £47,379 per annum including London Weighting Allowance Job ID: 134809 Close Date: 11-Jan-2026 Contact Person: Sabrina Li Contact Details: Sabrina.Li@kcl.ac.uk