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08 October 2019 | Story Xolisa Mnukwa | Photo Charl Devenish
Gradstar UFS
The 2019 GradStar programme is all about producing well-rounded students and providing them with opportunities in the world of work, explained Head of UFS Career Services, Belinda Janeke.

Congratulations to the Kovsies top-11 students who made it into the GradStar top-100 programme for 2019!

Each year, 100 South African students are selected through a rigorous four-phase judging process to become part of the GradStar programme. The programme is designed to offer opportunities for employment to previously unrecognised students.

What makes the top 11? 

According to the UFS Head of Career Services, Belinda Janeke, the GradStar programme is all about producing a well-rounded student. Approximately 6 000 applications were received from Kovsies, of which 500 were selected based on a personality test. Another test was given to the 500 students who passed the personality test, after which interviews were conducted to determine the top 100 from the UFS.  

The students who were selected to represent the UFS exhibited the most potential as future leaders in their respective fields. Apart from academic achievement, contestants were evaluated according to their individual soft skills such as motivation, discipline, altruism, and attitude. This combination promised to deliver top candidates for future employers. 

2019 GradStar programme experiences

Throughout the competition, Kovsie contestants were exposed to new people and opportunities to network with various companies in their preferred career fields, where they had the opportunity to share their CVs with potential employers. Contestants were also afforded the opportunity to develop critical problem-solving skills in the world of work. The GradStar top-100 students also have a WhatsApp group where jobs are advertised.

The programme was valuable for the Kovsies; not only did it prepare them for employment, but also provided them with an opportunity for learning and recognising their own strengths and weaknesses as individuals in the working world. 

Congratulations to the Kovsies who made it into the GradStar top 100: 

Mariné du Toit: Bachelor of Social Work
Nyiko Maluleka: Bachelor of Arts, Corporate and Marketing Communication
Bianca Malan: Bachelor of Accounting, Financial Accounting
Boitumelo Mancoe: Master of Business Administration
Kabelo Mashego: Bachelor of Medicine and Bachelor of Surgery (MB ChB)
Kananelo Moletsane: Bachelor of Agriculture
Mudzunga Mukwevho: Bachelor of Accounting, Financial Accounting
Neo Roberts: Bachelor of Science, Information Technology 
Refilwe Maimane: Bachelor of Commerce, Accounting 
Themba Makhoba: Bachelor of Public Administration
Mpolokeng Mmutle: Bachelor of Commerce, Accounting

News Archive

Water erosion research help determine future of dams
2017-03-07

Description: Dr Jay le Roux Tags: Dr Jay le Roux

Dr Jay le Roux, one of 31 new NRF-rated
researchers at the University of the Free State,
aims for a higher rating from the NRF.
Photo: Rulanzen Martin

“This rating will motivate me to do more research, to improve outcomes, and to aim for a higher C-rating.” This was the response of Dr Jay le Roux, who was recently graded as an Y2-rated researcher by the National Research Foundation (NRF).

Dr Le Roux, senior lecturer in the Department of Geography at the University of the Free State (UFS), is one of 31 new NRF-rated researchers at the UFS. “This grading will make it possible to focus on more specific research during field research and to come in contact with other experts. Researchers are graded on their potential or contribution in their respective fields,” he said.

Research assess different techniques
His research on water erosion risk in South Africa (SA) is a methodological framework with three hierarchal levels presented. It was done in collaboration with the University of Pretoria (UP), Water Research Commission, Department of Agriculture, Forestry and Fisheries, and recently Rhodes University and the Department of Environmental Affairs. Dr Le Roux was registered for 5 years at UP, while working full-time for the Agricultural Research Council – Institute for Soil, Climate and Water (ARC-ISCW).

Water erosion risk assessment in South Africa: towards a methodological framework
, illustrates the most feasible erosion assessment techniques and input datasets that can be used to map water erosion features in SA. It also emphasises the simplicity required for application at a regional scale, with proper incorporation of the most important erosion-causal factors.

The main feature that distinguishes this approach from previous studies is the fact that this study interprets erosion features as individual sediment sources. Modelling the sediment yield contribution from gully erosion (also known as dongas) with emphasis on connectivity and sediment transport, can be considered as an important step towards the assessment of sediment produce at regional scale. 
 
Dams a pivotal element in river networks

Soil is an important, but limited natural resource in SA. Soil erosion not only involves loss of fertile topsoil and reduction of soil productivity, but is also coupled with serious off-site impacts related to increased mobilisation of sediment and delivery to rivers.

The siltation of dams is a big problem in SA, especially dams that are located in eroded catchment areas. Dr Le Roux recently developed a model to assess sediment yield contribution from gully erosion at a large catchment scale. “The Mzimvubu River Catchment is the only large river network in SA on record without a dam.” The flow and sediment yield in the catchment made it possible to estimate dam life expectancies on between 43 and 55 years for future dams in the area.
 
Future model to assess soil erosion
“I plan to finalise a soil erosion model that will determine the sediment yield of gully erosion on a bigger scale.” It will be useful to determine the lifespan of dams where gully erosion is a big problem. Two of his PhD students are currently working on project proposals to assess soil erosion with the help of remote sensing techniques.

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