diff --git a/example-notebooks/template-mpm-run.ipynb b/example-notebooks/template-mpm-run.ipynb
index df364a0..42db1ee 100644
--- a/example-notebooks/template-mpm-run.ipynb
+++ b/example-notebooks/template-mpm-run.ipynb
@@ -41,7 +41,17 @@
    "execution_count": 2,
    "id": "b7fa3e9a-7bf3-441c-917f-fb57a94ee017",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
+     ]
+    }
+   ],
    "source": [
     "!pip install git+https://github.com/DesignSafe-CI/dsjobs.git --quiet"
    ]
@@ -68,11 +78,34 @@
    "outputs": [],
    "source": [
     "# Default parameters for the MPM template notebook\n",
-    "path: str = \"/MyData/mpm-benchmarks/2d/uniaxial_stress/\"  # path to input file\n",
+    "path: str = '/MyData/mpm-benchmarks/2d/uniaxial_stress/' # path to input file\n",
     "\n",
-    "input_file: str = \"mpm.json\"  # input file.json\n",
+    "input_file: str = 'mpm.json' # input file.json\n",
     "\n",
-    "# The parameters modified in your job will be embedded below."
+    "duration: str = '00:10:00' # Runtime duration ('HH:MM:SS')\n",
+    "\n",
+    "# The parameters modified in your job will be included in the cell below."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "89d9596b-1c14-4d0c-a127-ee6c46da2671",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "91b811a4-45d9-4223-a145-c0f4e393af66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from agavepy.agave import Agave\n",
+    "import dsjobs as ds\n",
+    "import json\n",
+    "import os"
    ]
   },
   {
@@ -85,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "0153c5cc-f4b9-460b-b4c6-d92eb8c6ede5",
    "metadata": {},
    "outputs": [
@@ -93,24 +126,46 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'appId': 'mpm-1.0.0', 'name': 'mpm-uniaxial', 'batchQueue': 'skx-dev', 'nodeCount': 1, 'processorsPerNode': 1, 'memoryPerNode': '1', 'maxRunTime': '00:10:00', 'archive': True, 'inputs': {'inputDirectory': ['agave://designsafe.storage.default/kks32/mpm-benchmarks/2d/uniaxial_stress/']}, 'parameters': {'inputfile': ['mpm.json']}}\n"
+      "\n",
+      "---Job Info---\n",
+      "\n",
+      "{\n",
+      "  \"appId\": \"mpm-1.0.0\",\n",
+      "  \"name\": \"mpm-uniaxial\",\n",
+      "  \"batchQueue\": \"skx-dev\",\n",
+      "  \"nodeCount\": 1,\n",
+      "  \"processorsPerNode\": 1,\n",
+      "  \"memoryPerNode\": \"1\",\n",
+      "  \"maxRunTime\": \"00:10:00\",\n",
+      "  \"archive\": true,\n",
+      "  \"inputs\": {\n",
+      "    \"inputDirectory\": [\n",
+      "      \"agave://designsafe.storage.default/kks32/mpm-benchmarks/2d/uniaxial_stress/\"\n",
+      "    ]\n",
+      "  },\n",
+      "  \"parameters\": {\n",
+      "    \"inputfile\": [\n",
+      "      \"mpm.json\"\n",
+      "    ]\n",
+      "  }\n",
+      "}\n"
      ]
     }
    ],
    "source": [
-    "from agavepy.agave import Agave\n",
-    "import dsjobs as ds\n",
-    "\n",
     "# authenticate\n",
     "ag = Agave.restore()\n",
     "\n",
     "# generate and modify job info\n",
-    "job_info = ds.generate_job_info(ag, appid=\"mpm-1.0.0\", jobname=\"mpm-uniaxial\")\n",
+    "job_info               = ds.generate_job_info(ag, \n",
+    "                                              appid='mpm-1.0.0', \n",
+    "                                              jobname='mpm-uniaxial', \n",
+    "                                              runtime=duration)\n",
     "\n",
     "# specify input path and file\n",
-    "job_info[\"inputs\"] = {\"inputDirectory\": [ds.get_ds_path_uri(ag, path)]}\n",
-    "job_info[\"parameters\"] = {\"inputfile\": [input_file]}\n",
-    "print(job_info)"
+    "job_info[\"inputs\"]     = {\"inputDirectory\": [ ds.get_ds_path_uri(ag, path) ]}\n",
+    "job_info[\"parameters\"] = {\"inputfile\" : [ input_file ]}\n",
+    "print(\"\\n---Job Info---\\n\\n\" + json.dumps(job_info, indent=2))"
    ]
   },
   {
@@ -123,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "4e6dc010-d821-45d5-805b-84620363f468",
    "metadata": {},
    "outputs": [],
@@ -133,7 +188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "06dd17dc-2540-46b3-9036-3245a9b6cfae",
    "metadata": {},
    "outputs": [
@@ -141,7 +196,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Waiting for job to start: 2it [00:30, 15.14s/it, Status: RUNNING]   \n",
+      "Waiting for job to start: 2it [00:30, 15.13s/it, Status: RUNNING]   \n",
       "Monitoring job:   0%|                                                        | 0/40 [00:00<?, ?it/s]"
      ]
     },
@@ -152,20 +207,6 @@
       "\tStatus: RUNNING\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Monitoring job:  10%|████▊                                           | 4/40 [01:00<09:04, 15.12s/it]"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\tStatus: ARCHIVING\n"
-     ]
-    },
     {
      "name": "stderr",
      "output_type": "stream",
@@ -193,7 +234,7 @@
        "'FINISHED'"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -204,7 +245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "614f3568-d290-44d9-896d-608375293a58",
    "metadata": {},
    "outputs": [
@@ -219,12 +260,12 @@
       "STAGING_INPUTS      time: 0:00:04\n",
       "STAGED              time: 0:00:00\n",
       "STAGING_JOB         time: 0:00:04\n",
-      "SUBMITTING          time: 0:00:05\n",
+      "SUBMITTING          time: 0:00:06\n",
       "QUEUED              time: 0:00:05\n",
-      "RUNNING             time: 0:01:08\n",
+      "RUNNING             time: 0:01:09\n",
       "CLEANING_UP         time: 0:00:00\n",
-      "ARCHIVING           time: 0:00:08\n",
-      "TOTAL               time: 0:01:37\n",
+      "ARCHIVING           time: 0:00:09\n",
+      "TOTAL               time: 0:01:40\n",
       "---------------\n"
      ]
     }
@@ -232,10 +273,44 @@
    "source": [
     "ds.runtime_summary(ag, job[\"id\"])"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "798bd1bc-44e9-4e2f-b999-0ecf3ee769a4",
+   "metadata": {},
+   "source": [
+    "## Archive path to view output results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "209aae22-98fc-454c-bbd4-1946dfb4b5be",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/home/jupyter/MyData/archive/jobs/job-cdd40c86-e9a1-43bc-8b68-934826e513aa-007'"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get local archive path on DesignSafe\n",
+    "archive_path = ds.get_archive_path(ag, job[\"id\"])\n",
+    "# Navigate to results folder\n",
+    "os.chdir(archive_path)\n",
+    "# Print current directory\n",
+    "os.getcwd()"
+   ]
   }
  ],
  "metadata": {
-  "IMAGE_NAME": "taccsciapps/ds-nb-img:base-0.1.2",
+  "IMAGE_NAME": "taccsciapps/ds-nb-img:base-0.1.3",
   "UUID": "ad99fe82-d690-11ec-8bc3-165d4cd45074",
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",