diff --git a/README.md b/README.md
index 4d92e4d..6313c92 100644
--- a/README.md
+++ b/README.md
@@ -92,7 +92,7 @@ with the default password `asdf`.
   # generate a Dockerfile with python and without Julia and R
   ./generate-Dockerfile.sh --no-datascience-notebook  
   docker build -t gpu-jupyter .build/  # will take a while
-  docker run --gpus all -d -it -p 8848:8888 -v $(pwd)/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes --user root --restart always --name gpu-jupyter_1 gpu-jupyter 
+  docker run --gpus all -d -it -p 8848:8888 -v $(pwd)/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes -e NB_UID="$(id -u)" -e NB_GID="$(id -g)" --user root --restart always --name gpu-jupyter_1 gpu-jupyter
   ``` 
 
 This starts a container WITH GPU support, a shared local data volume `data`  
diff --git a/docker-compose.yml b/docker-compose.yml
index 084f5b2..dd61b0a 100755
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -9,6 +9,8 @@ services:
     environment:
       GRANT_SUDO: "yes"
       JUPYTER_ENABLE_LAB: "yes"
+      NB_UID: '${UID}'
+      NB_GID: '${GID}'
     # enable sudo permissions
     user:
       "root"
diff --git a/start-local.sh b/start-local.sh
index 23cccfe..2136c0c 100755
--- a/start-local.sh
+++ b/start-local.sh
@@ -19,6 +19,8 @@ fi
 # starting in docker-compose
 echo "Starting gpu-jupyter via docker-compose on port $PORT."
 export JUPYTER_PORT=$PORT
+export UID=$(id -u)
+export GID=$(id -g)
 
 # echo $JUPYTER_PORT
 docker-compose up --build -d